Text-to-Speech
LiteRT
ONNX
LiteRT
English
Spanish
Italian
onnxruntime
tts
int8
quantization
speech-synthesis
duration-flow
multilingual
expressive-tts
emotion
cpu-inference
Instructions to use spybyscript/scyllasband with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use spybyscript/scyllasband with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit ·
c00d50c
0
Parent(s):
Initial public release
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +35 -0
- README.md +308 -0
- litert/assets/emotions.json +263 -0
- litert/assets/g2p/export_config.json +50 -0
- litert/assets/g2p/language_map.json +29 -0
- litert/assets/g2p/normalization.json +18 -0
- litert/assets/g2p/phoneme_dict.json +6 -0
- litert/assets/g2p/pronunciation_overrides.json +4 -0
- litert/assets/g2p/tokenizer.json +727 -0
- litert/assets/languages.json +368 -0
- litert/assets/phone_vocab.json +98 -0
- litert/assets/voice_packs/ariadne.npz +3 -0
- litert/assets/voice_packs/felix.npz +3 -0
- litert/assets/voice_packs/gwen.npz +3 -0
- litert/assets/voice_packs/ink.npz +3 -0
- litert/assets/voice_packs/max.npz +3 -0
- litert/assets/voice_packs/orpheus.npz +3 -0
- litert/assets/voice_packs/reference_packs.json +0 -0
- litert/assets/voice_packs/rex.npz +3 -0
- litert/assets/voice_packs/scylla.npz +3 -0
- litert/assets/voice_packs/stone.npz +3 -0
- litert/assets/voice_packs/tuesday.npz +3 -0
- litert/assets/voices.json +562 -0
- litert/litert/duration_predictor.tflite +3 -0
- litert/litert/g2p.tflite +3 -0
- litert/litert/vector_context_encoder.tflite +3 -0
- litert/litert/vector_estimator.tflite +3 -0
- litert/litert/vector_estimator_256.tflite +3 -0
- litert/litert/vector_estimator_384.tflite +3 -0
- litert/litert/vector_estimator_512.tflite +3 -0
- litert/litert/vocoder.tflite +3 -0
- litert/litert/vocoder_256.tflite +3 -0
- litert/litert/vocoder_384.tflite +3 -0
- litert/litert/vocoder_512.tflite +3 -0
- litert/litert/vocoder_adapter.tflite +3 -0
- litert/litert/vocoder_adapter_256.tflite +3 -0
- litert/litert/vocoder_adapter_384.tflite +3 -0
- litert/litert/vocoder_adapter_512.tflite +3 -0
- litert/manifest.json +948 -0
- onnx/assets/emotions.json +263 -0
- onnx/assets/g2p/export_config.json +26 -0
- onnx/assets/g2p/language_map.json +29 -0
- onnx/assets/g2p/normalization.json +18 -0
- onnx/assets/g2p/phoneme_dict.json +6 -0
- onnx/assets/g2p/pronunciation_overrides.json +4 -0
- onnx/assets/g2p/tokenizer.json +368 -0
- onnx/assets/languages.json +368 -0
- onnx/assets/phone_vocab.json +98 -0
- onnx/assets/voice_packs/ariadne.npz +3 -0
- onnx/assets/voice_packs/felix.npz +3 -0
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README.md
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| 1 |
+
---
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| 2 |
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license: apache-2.0
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| 3 |
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language:
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- en
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- es
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- it
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library_name: onnxruntime
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tags:
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| 9 |
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- text-to-speech
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| 10 |
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- tts
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| 11 |
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- onnx
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| 12 |
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- litert
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| 13 |
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- speech-synthesis
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| 14 |
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- duration-flow
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| 15 |
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- multilingual
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| 16 |
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- expressive-tts
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- emotion
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- cpu-inference
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pipeline_tag: text-to-speech
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---
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| 21 |
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| 22 |
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# Scylla's Band
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| 23 |
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| 24 |
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Scylla's Band is a multilingual, multi-voice, expressive text-to-speech model for local and self-hosted inference. It predicts phone durations, generates continuous acoustic latents with rectified flow, and decodes those latents to a 24 kHz waveform through a Scylla's Band acoustic adapter and Vocos vocoder.
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| 25 |
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| 26 |
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Scylla's Band is developed and published by [Spybyscript](https://huggingface.co/spybyscript).
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Public resources:
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| 29 |
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| 30 |
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- Model bundles and voice assets: [`spybyscript/scyllasband`](https://huggingface.co/spybyscript/scyllasband)
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| 31 |
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- Runtime source: [`lowkeytea/scyllasband`](https://github.com/lowkeytea/scyllasband)
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| 32 |
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- [Interactive voice, language, and affect samples](https://lowkeytea.github.io/scyllasband/)
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The public resources are inference-only. Training data, trainer checkpoints, and export tooling are not distributed with the model.
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## Intended Use
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| 38 |
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Scylla's Band is intended for:
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| 39 |
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| 40 |
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- Single-voice speech synthesis with ten managed voices.
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| 41 |
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- English, Spanish, and Italian synthesis.
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| 42 |
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- Long-form narration with automatic planning and chunking.
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| 43 |
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- Multi-voice dialogue from tagged text.
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| 44 |
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- Continuous control over calm, joy, anger, sadness, sarcasm, and questioning delivery.
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| 45 |
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- Desktop and server inference through ONNX Runtime.
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- Native and mobile execution through ONNX Runtime and `libscyllasband`, with LiteRT available as an explicit experimental backend.
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| 47 |
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| 48 |
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Scylla's Band is not an arbitrary-speaker cloning system. It is not intended for impersonation, fraud, deception, or generating speech that falsely represents a real person as speaking.
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| 49 |
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| 50 |
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## Quick Start
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| 51 |
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|
| 52 |
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```bash
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| 53 |
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python3 -m venv .venv
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| 54 |
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source .venv/bin/activate
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| 55 |
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pip install --upgrade pip wheel setuptools
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| 56 |
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pip install -e .
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| 57 |
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pip install numpy huggingface_hub onnxruntime
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| 58 |
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|
| 59 |
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python -m scyllasband download
|
| 60 |
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python -m scyllasband validate-bundle
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| 61 |
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python -m scyllasband speak \
|
| 62 |
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--voice scylla \
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| 63 |
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--language en_us \
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| 64 |
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--emotion calm=0.5 \
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| 65 |
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-o hello.wav \
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| 66 |
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"Hello from Scylla's Band."
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| 67 |
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```
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| 68 |
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| 69 |
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Download both public backend bundles with:
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| 70 |
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|
| 71 |
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```bash
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| 72 |
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python -m scyllasband download --runtime-bundles both
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| 73 |
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```
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| 74 |
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| 75 |
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An expressive example:
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| 76 |
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| 77 |
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```bash
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| 78 |
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python -m scyllasband speak \
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| 79 |
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--backend onnx \
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| 80 |
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--voice gwen \
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| 81 |
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--language en_us \
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| 82 |
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--emotion joy=0.75,sarcasm=0.25 \
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| 83 |
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--emotion-scale 1.5 \
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| 84 |
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--steps 8 \
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| 85 |
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--sampler heun \
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| 86 |
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-o expressive.wav \
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| 87 |
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"Oh, brilliant! The dragon ate the map, and somehow this is going perfectly."
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| 88 |
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```
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| 89 |
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## Model Details
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| 91 |
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| 92 |
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| Field | Value |
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| 93 |
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| --- | --- |
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| 94 |
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| Model family | Continuous-latent duration/flow TTS |
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| 95 |
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| Public bundle contract | `1.0.0` / `scyllasband-duration-flow` |
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| 96 |
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| Main public backend | ONNX Runtime |
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| 97 |
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| Additional backend | LiteRT with native `libscyllasband` support |
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| 98 |
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| License | Apache 2.0 |
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| 99 |
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| Output sample rate | 24 kHz |
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| 100 |
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| Acoustic representation | 100 mel bins, 24-dimensional acoustic latents |
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| 101 |
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| Hop lengths | 256 waveform hop, 512 latent hop |
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| 102 |
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| Public languages | `en_us`, `en_gb`, `es`, `it` |
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| 103 |
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| Managed voices | 10 |
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| 104 |
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| Affect controls | 6 independently scored axes |
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| 105 |
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| CLI quality default | 8-step Heun sampling |
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| 106 |
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| Fixed graph budgets | 512 G2P text tokens, 512 phone frames, 640 latent frames |
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| 107 |
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| Latent target buckets | 256, 384, 512, 640, selected by smallest fit |
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| 108 |
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| 109 |
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Managed voices:
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| 110 |
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| 111 |
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```text
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| 112 |
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ariadne, felix, gwen, ink, max, orpheus, rex, scylla, stone, tuesday
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| 113 |
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```
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| 114 |
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| 115 |
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English defaults to `en_us` for most voices. Ink, Orpheus, and Tuesday default to `en_gb`. Every managed voice supports `en_us`, `en_gb`, `es`, and `it` in the current public bundles.
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| 116 |
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| 117 |
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## Architecture
|
| 118 |
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| 119 |
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```text
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| 120 |
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text
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| 121 |
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-> spoken-text normalization and phrase planning
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| 122 |
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-> Scylla's Band G2P
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| 123 |
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-> phone IDs, punctuation, and boundary/context features
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| 124 |
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-> duration prediction
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| 125 |
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-> duration-expanded phone conditioning
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| 126 |
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-> rectified-flow acoustic latent estimation
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| 127 |
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-> Scylla's Band acoustic adapter and Vocos vocoder
|
| 128 |
+
-> 24 kHz waveform
|
| 129 |
+
-> long-form assembly when needed
|
| 130 |
+
```
|
| 131 |
+
|
| 132 |
+
| Component | Details |
|
| 133 |
+
| --- | --- |
|
| 134 |
+
| Text frontend | Phrase-level multilingual G2P with a 74-phone vocabulary and fixed 512-token input budget |
|
| 135 |
+
| Duration predictor | 192 hidden size, 4 layers, 4 heads, up to 512 phone positions |
|
| 136 |
+
| Acoustic generator | 24-dimensional rectified-flow latents, 512 hidden size, 12 layers, 8 heads, AdaLN conditioning, and QK normalization |
|
| 137 |
+
| Span context | Three context segments over up to 768 phones with a 512-dimensional context state |
|
| 138 |
+
| Prefix context | Up to 24 acoustic latent frames from the preceding chunk |
|
| 139 |
+
| Voice references | 128-dimensional style and 32-dimensional prosody features |
|
| 140 |
+
| Vocoder | Scylla's Band acoustic adapter into a frozen `charactr/vocos-mel-24khz` backbone |
|
| 141 |
+
|
| 142 |
+
The duration predictor and acoustic generator are conditioned on voice, language, reference features, boundary labels, and the six-axis affect vector. The acoustic generator additionally receives prefix latents and span context for long-form continuity. Voice/reference conditioning remains active in the affect CFG null branch so guidance changes delivery without intentionally removing speaker identity.
|
| 143 |
+
|
| 144 |
+
Punctuation boundaries use explicit silence phones. Runtime pause floors apply to internal sentence and clause boundaries, while the final learned silence keeps its predicted duration and host assembly supplies clean inter-chunk silence.
|
| 145 |
+
|
| 146 |
+
## Affect Controls
|
| 147 |
+
|
| 148 |
+
Scylla's Band exposes four core delivery axes and two overlays:
|
| 149 |
+
|
| 150 |
+
```text
|
| 151 |
+
core: calm, joy, anger, sadness
|
| 152 |
+
overlays: sarcasm, questioning
|
| 153 |
+
```
|
| 154 |
+
|
| 155 |
+
Each value is independently bounded in `[0, 1]`. Multiple values may be nonzero, so a request can combine a core delivery with sarcasm or questioning instead of selecting one mutually exclusive category.
|
| 156 |
+
|
| 157 |
+
The training ratings used a `0` to `4` scale and are normalized for inference:
|
| 158 |
+
|
| 159 |
+
| Human rating | Runtime value |
|
| 160 |
+
| ---: | ---: |
|
| 161 |
+
| 0 | 0.0 |
|
| 162 |
+
| 1 | 0.25 |
|
| 163 |
+
| 2 | 0.5 |
|
| 164 |
+
| 3 | 0.75 |
|
| 165 |
+
| 4 | 1.0 |
|
| 166 |
+
|
| 167 |
+
Values around `0.5` or `0.75` often provide more natural range than setting every requested axis to `1.0`. The shipped presets use `calm=0.5`, `joy=0.75`, `anger=0.75`, and `sadness=0.75`; sarcasm and questioning presets combine a quieter calm core with a `0.75` overlay.
|
| 168 |
+
|
| 169 |
+
Affect classifier-free guidance is controlled separately:
|
| 170 |
+
|
| 171 |
+
```text
|
| 172 |
+
guided = null + scale * (conditioned - null)
|
| 173 |
+
```
|
| 174 |
+
|
| 175 |
+
- `0` selects the learned null-affect prediction.
|
| 176 |
+
- `1` uses the requested affect vector directly.
|
| 177 |
+
- Values above `1` strengthen the conditional difference.
|
| 178 |
+
- The runtime accepts finite non-negative values without a fixed upper cap.
|
| 179 |
+
|
| 180 |
+
The selected flow estimator was trained with `0.15` affect-condition dropout to provide the null branch used by CFG. A practical first range for stronger delivery is `1.25` to `1.5`. Higher values are extrapolation and can produce exaggerated timing, voice instability, or distortion depending on the voice and sentence. Guidance scales other than `1` also require both null and conditioned model evaluation and therefore cost more than direct conditioning.
|
| 181 |
+
|
| 182 |
+
## Runtime Bundles
|
| 183 |
+
|
| 184 |
+
The selected bundle's `manifest.json` is authoritative for its shapes, controls, components, and preferred backend.
|
| 185 |
+
|
| 186 |
+
### ONNX
|
| 187 |
+
|
| 188 |
+
ONNX is the default path across Python, desktop/server, native `libscyllasband`, and the Android sample. The export uses opset 18, four full acoustic-generator/vocoder target buckets, and shared external weights. CPU execution through `CPUExecutionProvider` is the validated baseline.
|
| 189 |
+
|
| 190 |
+
```text
|
| 191 |
+
scyllasband/models/onnx/
|
| 192 |
+
manifest.json
|
| 193 |
+
onnx/g2p/model.onnx
|
| 194 |
+
onnx/components/duration_predictor.onnx
|
| 195 |
+
onnx/components/vector_context_encoder.onnx
|
| 196 |
+
onnx/components/vector_estimator_b{256,384,512,640}.onnx
|
| 197 |
+
onnx/components/vocoder_b{256,384,512,640}.onnx
|
| 198 |
+
onnx/components/vocoder_adapter_b{256,384,512,640}.onnx
|
| 199 |
+
onnx/components/shared_weights.bin
|
| 200 |
+
onnx/components/shared_weights.json
|
| 201 |
+
assets/
|
| 202 |
+
```
|
| 203 |
+
|
| 204 |
+
### LiteRT
|
| 205 |
+
|
| 206 |
+
LiteRT provides an explicit experimental native/mobile bundle for `libscyllasband`; it is never selected as an implicit fallback. The current public bundle uses one full acoustic-generator graph per target bucket rather than separate prefix/tail graphs. Accelerator support and fallback policy remain platform- and runtime-dependent.
|
| 207 |
+
|
| 208 |
+
```text
|
| 209 |
+
scyllasband/models/litert/
|
| 210 |
+
manifest.json
|
| 211 |
+
litert/g2p.tflite
|
| 212 |
+
litert/duration_predictor.tflite
|
| 213 |
+
litert/vector_context_encoder.tflite
|
| 214 |
+
litert/vector_estimator_{256,384,512}.tflite
|
| 215 |
+
litert/vector_estimator.tflite
|
| 216 |
+
litert/vocoder_{256,384,512}.tflite
|
| 217 |
+
litert/vocoder.tflite
|
| 218 |
+
litert/vocoder_adapter_{256,384,512}.tflite
|
| 219 |
+
litert/vocoder_adapter.tflite
|
| 220 |
+
assets/
|
| 221 |
+
```
|
| 222 |
+
|
| 223 |
+
Both bundles include phone and language indexes, G2P sidecars, affect metadata, and managed voice/reference packs under `assets/`.
|
| 224 |
+
|
| 225 |
+
## Long-Form Synthesis
|
| 226 |
+
|
| 227 |
+
Long-form planning is enabled by default in the CLI. It provides:
|
| 228 |
+
|
| 229 |
+
- Normalization before chunk planning.
|
| 230 |
+
- Sentence, paragraph, clause, and artificial-continuation boundary labels.
|
| 231 |
+
- Duration preflight and retry splitting for fixed graph budgets.
|
| 232 |
+
- Prefix-latent carryover and span/lookahead context.
|
| 233 |
+
- Internal punctuation pause floors.
|
| 234 |
+
- Short fades and clean host-side silence at assembled boundaries.
|
| 235 |
+
|
| 236 |
+
Use `--no-chunk-text` only when intentionally debugging one raw synthesis request.
|
| 237 |
+
|
| 238 |
+
## Training Data and Labels
|
| 239 |
+
|
| 240 |
+
Training data is not distributed with the public inference resources. Scylla's Band was trained primarily on synthetic multilingual speech. Seed vocabulary came from Wiktionary-derived word lists, scripted prompt generation placed target words in varied sentences, and the text was rendered as synthetic speech across the managed voices and languages.
|
| 241 |
+
|
| 242 |
+
Prepared audio was filtered with text/audio validation, ASR checks, alignment targets, and audio-quality review. Alignment-derived durations supervise the duration predictor and explicit punctuation silences.
|
| 243 |
+
|
| 244 |
+
The original desired-delivery categories were not treated as ground truth. A human-validated pilot was scored across calm, joy, anger, sadness, sarcasm, and questioning, allowing multiple nonzero values for one clip. Those labels were used to fit a programmatic rescoring process for the remaining emotional dataset. This gives the model continuous per-axis supervision instead of one mutually exclusive emotion label.
|
| 245 |
+
|
| 246 |
+
## Validation
|
| 247 |
+
|
| 248 |
+
The public ONNX and LiteRT bundles pass the 1.0 bundle contract. Machine-local `export_status.json` files are exporter diagnostics and are intentionally omitted from the public inference payload. Runtime validation uses matched text, voice, language, affect, guidance, sampler, steps, and seed, and checks each backend against its validated deterministic reference output.
|
| 249 |
+
|
| 250 |
+
Useful checks:
|
| 251 |
+
|
| 252 |
+
```bash
|
| 253 |
+
python -m scyllasband validate-bundle scyllasband/models/onnx
|
| 254 |
+
python -m scyllasband validate-bundle scyllasband/models/litert
|
| 255 |
+
|
| 256 |
+
python -m scyllasband speak scyllasband/models/onnx \
|
| 257 |
+
--backend onnx \
|
| 258 |
+
--voice scylla \
|
| 259 |
+
--language en_us \
|
| 260 |
+
--emotion anger=0.75 \
|
| 261 |
+
--emotion-scale 1.5 \
|
| 262 |
+
--metadata /tmp/scyllasband_onnx_smoke.json \
|
| 263 |
+
-o /tmp/scyllasband_onnx_smoke.wav \
|
| 264 |
+
"That was not the agreement."
|
| 265 |
+
```
|
| 266 |
+
|
| 267 |
+
Compare normalized synthesis metadata with:
|
| 268 |
+
|
| 269 |
+
```bash
|
| 270 |
+
python -m scyllasband compare-metadata LEFT.json RIGHT.json
|
| 271 |
+
```
|
| 272 |
+
|
| 273 |
+
The public sample gallery contains 30 matched multilingual voice previews and 50 affect demonstrations covering all ten voices.
|
| 274 |
+
|
| 275 |
+
## Limitations
|
| 276 |
+
|
| 277 |
+
- Public text input is limited to `en_us`, `en_gb`, `es`, and `it`.
|
| 278 |
+
- The model uses managed voice/reference packs and does not accept arbitrary speaker cloning references.
|
| 279 |
+
- Affect response varies with the voice, language, wording, requested mixture, sampler, steps, and CFG scale. Some voices and sentences are naturally subtler than others.
|
| 280 |
+
- Strong CFG can exaggerate timing or destabilize the voice even when the six-axis values themselves remain within range.
|
| 281 |
+
- ONNX, LiteRT, and the training runtime can have small numerical or acoustic differences. Validate the chosen backend on representative text and target hardware.
|
| 282 |
+
- Long-form output is planned in chunks. Very unusual boundaries or extremely short fragments may still sound less natural than complete sentences.
|
| 283 |
+
- Names, rare words, code, malformed text, and language-mismatched input can be mispronounced.
|
| 284 |
+
- Synthetic training data can carry the pronunciation, prosody, and language biases of its source systems and filtering process.
|
| 285 |
+
|
| 286 |
+
## Safety and Misuse
|
| 287 |
+
|
| 288 |
+
Do not use Scylla's Band to impersonate people, deceive listeners, bypass consent, or create speech that represents a real person as saying something they did not say. Generated audio should be disclosed as synthetic whenever the context could otherwise confuse a listener.
|
| 289 |
+
|
| 290 |
+
## License
|
| 291 |
+
|
| 292 |
+
Scylla's Band is released under Apache 2.0. See [`LICENSE`](LICENSE).
|
| 293 |
+
|
| 294 |
+
## Citation
|
| 295 |
+
|
| 296 |
+
```bibtex
|
| 297 |
+
@software{spybyscript_scyllasband2026,
|
| 298 |
+
author = {Spybyscript},
|
| 299 |
+
title = {Scylla's Band: Multilingual Expressive Duration-Flow Text-to-Speech},
|
| 300 |
+
year = {2026},
|
| 301 |
+
url = {https://huggingface.co/spybyscript/scyllasband},
|
| 302 |
+
license = {Apache-2.0}
|
| 303 |
+
}
|
| 304 |
+
```
|
| 305 |
+
|
| 306 |
+
## Acknowledgments
|
| 307 |
+
|
| 308 |
+
Scylla's Band uses ONNX Runtime as the default Python, desktop/server, native, and mobile backend; LiteRT is an explicit experimental alternative. Vocos provides the frozen 24 kHz vocoder backbone. Wiktionary-derived vocabulary and alignment tooling contributed to data preparation and duration supervision.
|
litert/assets/emotions.json
ADDED
|
@@ -0,0 +1,263 @@
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"id": "neutral",
|
| 4 |
+
"index": 0,
|
| 5 |
+
"samples": 201519,
|
| 6 |
+
"duration_seconds": 802114.2377499993,
|
| 7 |
+
"by_split": {
|
| 8 |
+
"test": 2005,
|
| 9 |
+
"train": 197483,
|
| 10 |
+
"val": 2031
|
| 11 |
+
},
|
| 12 |
+
"by_voice": {
|
| 13 |
+
"ariadne": 20793,
|
| 14 |
+
"felix": 19202,
|
| 15 |
+
"gwen": 18393,
|
| 16 |
+
"ink": 20643,
|
| 17 |
+
"max": 21137,
|
| 18 |
+
"orpheus": 19354,
|
| 19 |
+
"rex": 20159,
|
| 20 |
+
"scylla": 17814,
|
| 21 |
+
"stone": 22430,
|
| 22 |
+
"tuesday": 21594
|
| 23 |
+
},
|
| 24 |
+
"by_language": {
|
| 25 |
+
"en_gb": 18471,
|
| 26 |
+
"en_us": 42681,
|
| 27 |
+
"es": 66146,
|
| 28 |
+
"it": 74221
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"id": "friendly",
|
| 33 |
+
"index": 1,
|
| 34 |
+
"samples": 210898,
|
| 35 |
+
"duration_seconds": 845257.84904167,
|
| 36 |
+
"by_split": {
|
| 37 |
+
"test": 1955,
|
| 38 |
+
"train": 206793,
|
| 39 |
+
"val": 2150
|
| 40 |
+
},
|
| 41 |
+
"by_voice": {
|
| 42 |
+
"ariadne": 22907,
|
| 43 |
+
"felix": 20676,
|
| 44 |
+
"gwen": 18651,
|
| 45 |
+
"ink": 22103,
|
| 46 |
+
"max": 22369,
|
| 47 |
+
"orpheus": 20923,
|
| 48 |
+
"rex": 21415,
|
| 49 |
+
"scylla": 20891,
|
| 50 |
+
"stone": 18436,
|
| 51 |
+
"tuesday": 22527
|
| 52 |
+
},
|
| 53 |
+
"by_language": {
|
| 54 |
+
"en_gb": 18347,
|
| 55 |
+
"en_us": 40812,
|
| 56 |
+
"es": 71505,
|
| 57 |
+
"it": 80234
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"id": "happy",
|
| 62 |
+
"index": 2,
|
| 63 |
+
"samples": 217138,
|
| 64 |
+
"duration_seconds": 881428.0421666885,
|
| 65 |
+
"by_split": {
|
| 66 |
+
"test": 2147,
|
| 67 |
+
"train": 212829,
|
| 68 |
+
"val": 2162
|
| 69 |
+
},
|
| 70 |
+
"by_voice": {
|
| 71 |
+
"ariadne": 24462,
|
| 72 |
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| 73 |
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| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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|
| 81 |
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| 82 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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{
|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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| 106 |
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|
| 107 |
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| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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"it": 77881
|
| 116 |
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}
|
| 117 |
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},
|
| 118 |
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{
|
| 119 |
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"id": "angry",
|
| 120 |
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"index": 4,
|
| 121 |
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"samples": 210619,
|
| 122 |
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"duration_seconds": 848382.7504583321,
|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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{
|
| 148 |
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"id": "frustrated",
|
| 149 |
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"index": 5,
|
| 150 |
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"samples": 205875,
|
| 151 |
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|
| 152 |
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| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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},
|
| 176 |
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{
|
| 177 |
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"id": "sad",
|
| 178 |
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|
| 179 |
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"samples": 215564,
|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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| 186 |
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| 187 |
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|
| 188 |
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| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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}
|
| 204 |
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},
|
| 205 |
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{
|
| 206 |
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"id": "sarcastic",
|
| 207 |
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|
| 208 |
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"samples": 226034,
|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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"train": 221394,
|
| 213 |
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|
| 214 |
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},
|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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}
|
| 233 |
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},
|
| 234 |
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{
|
| 235 |
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"id": "unsure",
|
| 236 |
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"index": 8,
|
| 237 |
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"samples": 198578,
|
| 238 |
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"duration_seconds": 786214.2111250038,
|
| 239 |
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|
| 240 |
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"test": 2048,
|
| 241 |
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|
| 242 |
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"val": 1962
|
| 243 |
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},
|
| 244 |
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|
| 245 |
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"ariadne": 20549,
|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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"tuesday": 18774
|
| 255 |
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},
|
| 256 |
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"by_language": {
|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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}
|
| 262 |
+
}
|
| 263 |
+
]
|
litert/assets/g2p/export_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
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|
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|
|
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|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chunk_context": {
|
| 3 |
+
"artificial_continuation_boundaries": [
|
| 4 |
+
"chunk_continue"
|
| 5 |
+
],
|
| 6 |
+
"artificial_continuation_phone": null,
|
| 7 |
+
"boundary_after_values": [
|
| 8 |
+
"sentence_end",
|
| 9 |
+
"paragraph_end",
|
| 10 |
+
"clause_continue",
|
| 11 |
+
"chunk_continue"
|
| 12 |
+
],
|
| 13 |
+
"boundary_before_values": [
|
| 14 |
+
"sentence_start",
|
| 15 |
+
"paragraph_start",
|
| 16 |
+
"clause_continue",
|
| 17 |
+
"chunk_continue"
|
| 18 |
+
],
|
| 19 |
+
"clause_continuation_fallback_phone": "<pause_comma>",
|
| 20 |
+
"conditioning": "boundary_embeddings",
|
| 21 |
+
"context_phone_tokens": {
|
| 22 |
+
"continuation": "<ctx_continuation>",
|
| 23 |
+
"sentence_end": "<ctx_sentence_end>",
|
| 24 |
+
"sentence_start": "<ctx_sentence_start>"
|
| 25 |
+
},
|
| 26 |
+
"default_boundary_after": "sentence_end",
|
| 27 |
+
"default_boundary_before": "sentence_start",
|
| 28 |
+
"emit_context_phone_tokens": false,
|
| 29 |
+
"linguistic_continuation_boundaries": [
|
| 30 |
+
"clause_continue"
|
| 31 |
+
],
|
| 32 |
+
"schema_version": 2
|
| 33 |
+
},
|
| 34 |
+
"decoder": "ctc_dedup_until_end_token",
|
| 35 |
+
"fixed_text_tokens": 512,
|
| 36 |
+
"format": "scyllasband_g2p",
|
| 37 |
+
"input_granularity": "phrase",
|
| 38 |
+
"input_tensor": "text",
|
| 39 |
+
"languages": [
|
| 40 |
+
"en_gb",
|
| 41 |
+
"en_us",
|
| 42 |
+
"es",
|
| 43 |
+
"it"
|
| 44 |
+
],
|
| 45 |
+
"output_tensor": "logits",
|
| 46 |
+
"phoneme_token_mode": "char",
|
| 47 |
+
"punctuation_silence_target": "explicit_silence",
|
| 48 |
+
"source_checkpoint": "output/deepphonemizer_multilingual/model_200k_wikt_kokoro_en_us_en_gb_phrase/checkpoints/best_model.pt",
|
| 49 |
+
"status": "exported"
|
| 50 |
+
}
|
litert/assets/g2p/language_map.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"american": "en_us",
|
| 3 |
+
"american_english": "en_us",
|
| 4 |
+
"british": "en_gb",
|
| 5 |
+
"british_english": "en_gb",
|
| 6 |
+
"en": "en_us",
|
| 7 |
+
"en-gb": "en_gb",
|
| 8 |
+
"en-uk": "en_gb",
|
| 9 |
+
"en-us": "en_us",
|
| 10 |
+
"en_gb": "en_gb",
|
| 11 |
+
"en_uk": "en_gb",
|
| 12 |
+
"en_us": "en_us",
|
| 13 |
+
"eng": "en_us",
|
| 14 |
+
"eng_gb": "en_gb",
|
| 15 |
+
"eng_us": "en_us",
|
| 16 |
+
"english": "en_us",
|
| 17 |
+
"english_gb": "en_gb",
|
| 18 |
+
"english_uk": "en_gb",
|
| 19 |
+
"english_us": "en_us",
|
| 20 |
+
"es": "es",
|
| 21 |
+
"gb": "en_gb",
|
| 22 |
+
"it": "it",
|
| 23 |
+
"ita": "it",
|
| 24 |
+
"italian": "it",
|
| 25 |
+
"spa": "es",
|
| 26 |
+
"spanish": "es",
|
| 27 |
+
"uk": "en_gb",
|
| 28 |
+
"us": "en_us"
|
| 29 |
+
}
|
litert/assets/g2p/normalization.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"normalizer": "SpokenTextNormalizer",
|
| 3 |
+
"languages": [
|
| 4 |
+
"en",
|
| 5 |
+
"en_us",
|
| 6 |
+
"en_gb",
|
| 7 |
+
"es",
|
| 8 |
+
"it"
|
| 9 |
+
],
|
| 10 |
+
"expand_currency": true,
|
| 11 |
+
"expand_numbers": true,
|
| 12 |
+
"expand_ordinals": true,
|
| 13 |
+
"expand_percentages": true,
|
| 14 |
+
"expand_times": true,
|
| 15 |
+
"expand_dates": true,
|
| 16 |
+
"normalize_at_sign": true,
|
| 17 |
+
"normalize_punctuation": true
|
| 18 |
+
}
|
litert/assets/g2p/phoneme_dict.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
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|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"en_gb": {},
|
| 3 |
+
"en_us": {},
|
| 4 |
+
"es": {},
|
| 5 |
+
"it": {}
|
| 6 |
+
}
|
litert/assets/g2p/pronunciation_overrides.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
+
"languages": {}
|
| 4 |
+
}
|
litert/assets/g2p/tokenizer.json
ADDED
|
@@ -0,0 +1,727 @@
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"format": "deepphonemizer_forward_ctc_litert",
|
| 3 |
+
"languages": [
|
| 4 |
+
"en_gb",
|
| 5 |
+
"en_us",
|
| 6 |
+
"es",
|
| 7 |
+
"it"
|
| 8 |
+
],
|
| 9 |
+
"char_repeats": 4,
|
| 10 |
+
"lowercase": true,
|
| 11 |
+
"phoneme_token_mode": "char",
|
| 12 |
+
"text_symbols": {
|
| 13 |
+
"_": 0,
|
| 14 |
+
"<en_gb>": 1,
|
| 15 |
+
"<en_us>": 2,
|
| 16 |
+
"<es>": 3,
|
| 17 |
+
"<it>": 4,
|
| 18 |
+
"<end>": 5,
|
| 19 |
+
"\b": 6,
|
| 20 |
+
" ": 7,
|
| 21 |
+
"!": 8,
|
| 22 |
+
"\"": 9,
|
| 23 |
+
"#": 10,
|
| 24 |
+
"$": 11,
|
| 25 |
+
"%": 12,
|
| 26 |
+
"&": 13,
|
| 27 |
+
"'": 14,
|
| 28 |
+
"(": 15,
|
| 29 |
+
")": 16,
|
| 30 |
+
"*": 17,
|
| 31 |
+
"+": 18,
|
| 32 |
+
",": 19,
|
| 33 |
+
"-": 20,
|
| 34 |
+
".": 21,
|
| 35 |
+
"/": 22,
|
| 36 |
+
"0": 23,
|
| 37 |
+
"1": 24,
|
| 38 |
+
"2": 25,
|
| 39 |
+
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|
| 40 |
+
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|
| 41 |
+
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
+
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|
| 46 |
+
":": 33,
|
| 47 |
+
";": 34,
|
| 48 |
+
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|
| 49 |
+
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|
| 50 |
+
">": 37,
|
| 51 |
+
"?": 38,
|
| 52 |
+
"@": 39,
|
| 53 |
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|
| 54 |
+
"B": 41,
|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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"[": 66,
|
| 80 |
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|
| 81 |
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"]": 68,
|
| 82 |
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|
| 83 |
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"`": 70,
|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"{": 97,
|
| 111 |
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"|": 98,
|
| 112 |
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"}": 99,
|
| 113 |
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"~": 100,
|
| 114 |
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"¡": 101,
|
| 115 |
+
"¢": 102,
|
| 116 |
+
"£": 103,
|
| 117 |
+
"¥": 104,
|
| 118 |
+
"ª": 105,
|
| 119 |
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"«": 106,
|
| 120 |
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"": 107,
|
| 121 |
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"®": 108,
|
| 122 |
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"°": 109,
|
| 123 |
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"²": 110,
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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"Å": 121,
|
| 135 |
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"Æ": 122,
|
| 136 |
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"Ç": 123,
|
| 137 |
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"È": 124,
|
| 138 |
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"É": 125,
|
| 139 |
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"Í": 126,
|
| 140 |
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"Ñ": 127,
|
| 141 |
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"Ò": 128,
|
| 142 |
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"Ó": 129,
|
| 143 |
+
"Ö": 130,
|
| 144 |
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"×": 131,
|
| 145 |
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"Ø": 132,
|
| 146 |
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"Ú": 133,
|
| 147 |
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"ß": 134,
|
| 148 |
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"à": 135,
|
| 149 |
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|
| 150 |
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"â": 137,
|
| 151 |
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"ã": 138,
|
| 152 |
+
"ä": 139,
|
| 153 |
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|
| 622 |
+
"ē",
|
| 623 |
+
"ė",
|
| 624 |
+
"ę",
|
| 625 |
+
"ğ",
|
| 626 |
+
"ī",
|
| 627 |
+
"ı",
|
| 628 |
+
"ł",
|
| 629 |
+
"ń",
|
| 630 |
+
"ō",
|
| 631 |
+
"ő",
|
| 632 |
+
"œ",
|
| 633 |
+
"ś",
|
| 634 |
+
"ş",
|
| 635 |
+
"Š",
|
| 636 |
+
"š",
|
| 637 |
+
"Ţ",
|
| 638 |
+
"ū",
|
| 639 |
+
"ŭ",
|
| 640 |
+
"ż",
|
| 641 |
+
"ǀ",
|
| 642 |
+
"ǎ",
|
| 643 |
+
"ǐ",
|
| 644 |
+
"ǔ",
|
| 645 |
+
"ș",
|
| 646 |
+
"ə",
|
| 647 |
+
"ɣ",
|
| 648 |
+
"ˈ",
|
| 649 |
+
"̃",
|
| 650 |
+
"̉",
|
| 651 |
+
"μ",
|
| 652 |
+
"π",
|
| 653 |
+
"С",
|
| 654 |
+
"в",
|
| 655 |
+
"е",
|
| 656 |
+
"й",
|
| 657 |
+
"н",
|
| 658 |
+
"о",
|
| 659 |
+
"р",
|
| 660 |
+
"с",
|
| 661 |
+
"т",
|
| 662 |
+
"ы",
|
| 663 |
+
"ѝ",
|
| 664 |
+
"ַ",
|
| 665 |
+
"א",
|
| 666 |
+
"ל",
|
| 667 |
+
"ע",
|
| 668 |
+
"د",
|
| 669 |
+
"ص",
|
| 670 |
+
"م",
|
| 671 |
+
"و",
|
| 672 |
+
"ḥ",
|
| 673 |
+
"ṛ",
|
| 674 |
+
"ṣ",
|
| 675 |
+
"ẓ",
|
| 676 |
+
"ồ",
|
| 677 |
+
"",
|
| 678 |
+
"",
|
| 679 |
+
"—",
|
| 680 |
+
"―",
|
| 681 |
+
"…",
|
| 682 |
+
"⁻",
|
| 683 |
+
"₂",
|
| 684 |
+
"₃",
|
| 685 |
+
"₤",
|
| 686 |
+
"₪",
|
| 687 |
+
"₫",
|
| 688 |
+
"€",
|
| 689 |
+
"₹",
|
| 690 |
+
"℃",
|
| 691 |
+
"√",
|
| 692 |
+
"─",
|
| 693 |
+
"☀",
|
| 694 |
+
"☠",
|
| 695 |
+
"⚓",
|
| 696 |
+
"✨",
|
| 697 |
+
"々",
|
| 698 |
+
"・",
|
| 699 |
+
"习",
|
| 700 |
+
"務",
|
| 701 |
+
"問",
|
| 702 |
+
"学",
|
| 703 |
+
"小",
|
| 704 |
+
"师",
|
| 705 |
+
"政",
|
| 706 |
+
"老",
|
| 707 |
+
"顧",
|
| 708 |
+
"fi",
|
| 709 |
+
"️",
|
| 710 |
+
"🇭",
|
| 711 |
+
"🇹",
|
| 712 |
+
"🌊",
|
| 713 |
+
"🌡",
|
| 714 |
+
"🌿",
|
| 715 |
+
"🎶",
|
| 716 |
+
"🏴",
|
| 717 |
+
"🐈",
|
| 718 |
+
"🐾",
|
| 719 |
+
"👠",
|
| 720 |
+
"💦",
|
| 721 |
+
"💨",
|
| 722 |
+
"🔥",
|
| 723 |
+
"😉",
|
| 724 |
+
"😹"
|
| 725 |
+
]
|
| 726 |
+
}
|
| 727 |
+
}
|
litert/assets/languages.json
ADDED
|
@@ -0,0 +1,368 @@
|
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|
|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"id": "en_us",
|
| 4 |
+
"index": 0,
|
| 5 |
+
"samples": 383914,
|
| 6 |
+
"duration_seconds": 1464718.5884999859,
|
| 7 |
+
"by_split": {
|
| 8 |
+
"test": 3756,
|
| 9 |
+
"train": 376354,
|
| 10 |
+
"val": 3804
|
| 11 |
+
},
|
| 12 |
+
"by_emotion": {
|
| 13 |
+
"angry": 43857,
|
| 14 |
+
"excited": 42121,
|
| 15 |
+
"friendly": 40812,
|
| 16 |
+
"frustrated": 41256,
|
| 17 |
+
"happy": 43370,
|
| 18 |
+
"neutral": 42681,
|
| 19 |
+
"sad": 42195,
|
| 20 |
+
"sarcastic": 48206,
|
| 21 |
+
"unsure": 39416
|
| 22 |
+
},
|
| 23 |
+
"by_voice_emotion": {
|
| 24 |
+
"ariadne|angry": 7303,
|
| 25 |
+
"ariadne|excited": 7243,
|
| 26 |
+
"ariadne|friendly": 6864,
|
| 27 |
+
"ariadne|frustrated": 6523,
|
| 28 |
+
"ariadne|happy": 7104,
|
| 29 |
+
"ariadne|neutral": 6513,
|
| 30 |
+
"ariadne|sad": 7106,
|
| 31 |
+
"ariadne|sarcastic": 8123,
|
| 32 |
+
"ariadne|unsure": 6311,
|
| 33 |
+
"felix|angry": 5994,
|
| 34 |
+
"felix|excited": 5328,
|
| 35 |
+
"felix|friendly": 5468,
|
| 36 |
+
"felix|frustrated": 5489,
|
| 37 |
+
"felix|happy": 5391,
|
| 38 |
+
"felix|neutral": 5752,
|
| 39 |
+
"felix|sad": 5501,
|
| 40 |
+
"felix|sarcastic": 6509,
|
| 41 |
+
"felix|unsure": 5216,
|
| 42 |
+
"gwen|angry": 5804,
|
| 43 |
+
"gwen|excited": 5863,
|
| 44 |
+
"gwen|friendly": 5406,
|
| 45 |
+
"gwen|frustrated": 5770,
|
| 46 |
+
"gwen|happy": 5605,
|
| 47 |
+
"gwen|neutral": 5683,
|
| 48 |
+
"gwen|sad": 5880,
|
| 49 |
+
"gwen|sarcastic": 6775,
|
| 50 |
+
"gwen|unsure": 5548,
|
| 51 |
+
"max|angry": 6874,
|
| 52 |
+
"max|excited": 6322,
|
| 53 |
+
"max|friendly": 6126,
|
| 54 |
+
"max|frustrated": 6506,
|
| 55 |
+
"max|happy": 6719,
|
| 56 |
+
"max|neutral": 6881,
|
| 57 |
+
"max|sad": 6687,
|
| 58 |
+
"max|sarcastic": 7018,
|
| 59 |
+
"max|unsure": 5585,
|
| 60 |
+
"rex|angry": 6482,
|
| 61 |
+
"rex|excited": 6376,
|
| 62 |
+
"rex|friendly": 6044,
|
| 63 |
+
"rex|frustrated": 6069,
|
| 64 |
+
"rex|happy": 6956,
|
| 65 |
+
"rex|neutral": 6284,
|
| 66 |
+
"rex|sad": 5906,
|
| 67 |
+
"rex|sarcastic": 6709,
|
| 68 |
+
"rex|unsure": 6043,
|
| 69 |
+
"scylla|angry": 5517,
|
| 70 |
+
"scylla|excited": 5525,
|
| 71 |
+
"scylla|friendly": 5542,
|
| 72 |
+
"scylla|frustrated": 5374,
|
| 73 |
+
"scylla|happy": 5641,
|
| 74 |
+
"scylla|neutral": 5412,
|
| 75 |
+
"scylla|sad": 5698,
|
| 76 |
+
"scylla|sarcastic": 6648,
|
| 77 |
+
"scylla|unsure": 5242,
|
| 78 |
+
"stone|angry": 5883,
|
| 79 |
+
"stone|excited": 5464,
|
| 80 |
+
"stone|friendly": 5362,
|
| 81 |
+
"stone|frustrated": 5525,
|
| 82 |
+
"stone|happy": 5954,
|
| 83 |
+
"stone|neutral": 6156,
|
| 84 |
+
"stone|sad": 5417,
|
| 85 |
+
"stone|sarcastic": 6424,
|
| 86 |
+
"stone|unsure": 5471
|
| 87 |
+
}
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"id": "en_gb",
|
| 91 |
+
"index": 1,
|
| 92 |
+
"samples": 164289,
|
| 93 |
+
"duration_seconds": 630126.1611666688,
|
| 94 |
+
"by_split": {
|
| 95 |
+
"test": 1597,
|
| 96 |
+
"train": 161012,
|
| 97 |
+
"val": 1680
|
| 98 |
+
},
|
| 99 |
+
"by_emotion": {
|
| 100 |
+
"angry": 18856,
|
| 101 |
+
"excited": 17386,
|
| 102 |
+
"friendly": 18347,
|
| 103 |
+
"frustrated": 17691,
|
| 104 |
+
"happy": 18822,
|
| 105 |
+
"neutral": 18471,
|
| 106 |
+
"sad": 18396,
|
| 107 |
+
"sarcastic": 20037,
|
| 108 |
+
"unsure": 16283
|
| 109 |
+
},
|
| 110 |
+
"by_voice_emotion": {
|
| 111 |
+
"ink|angry": 6827,
|
| 112 |
+
"ink|excited": 6274,
|
| 113 |
+
"ink|friendly": 6606,
|
| 114 |
+
"ink|frustrated": 6498,
|
| 115 |
+
"ink|happy": 6386,
|
| 116 |
+
"ink|neutral": 6634,
|
| 117 |
+
"ink|sad": 6967,
|
| 118 |
+
"ink|sarcastic": 7261,
|
| 119 |
+
"ink|unsure": 5789,
|
| 120 |
+
"orpheus|angry": 6007,
|
| 121 |
+
"orpheus|excited": 5354,
|
| 122 |
+
"orpheus|friendly": 5669,
|
| 123 |
+
"orpheus|frustrated": 5483,
|
| 124 |
+
"orpheus|happy": 6197,
|
| 125 |
+
"orpheus|neutral": 5648,
|
| 126 |
+
"orpheus|sad": 5581,
|
| 127 |
+
"orpheus|sarcastic": 6305,
|
| 128 |
+
"orpheus|unsure": 5286,
|
| 129 |
+
"tuesday|angry": 6022,
|
| 130 |
+
"tuesday|excited": 5758,
|
| 131 |
+
"tuesday|friendly": 6072,
|
| 132 |
+
"tuesday|frustrated": 5710,
|
| 133 |
+
"tuesday|happy": 6239,
|
| 134 |
+
"tuesday|neutral": 6189,
|
| 135 |
+
"tuesday|sad": 5848,
|
| 136 |
+
"tuesday|sarcastic": 6471,
|
| 137 |
+
"tuesday|unsure": 5208
|
| 138 |
+
}
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
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| 253 |
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| 256 |
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| 275 |
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|
| 276 |
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|
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|
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|
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|
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|
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| 343 |
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|
| 348 |
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|
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|
| 350 |
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| 351 |
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| 354 |
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| 356 |
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|
| 357 |
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|
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| 360 |
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| 361 |
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|
| 366 |
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|
| 367 |
+
}
|
| 368 |
+
]
|
litert/assets/phone_vocab.json
ADDED
|
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"mode": "scyllasband_ipa_phone_symbols",
|
| 3 |
+
"schema_version": 1,
|
| 4 |
+
"special_tokens": [
|
| 5 |
+
"<pad>",
|
| 6 |
+
"<unk>",
|
| 7 |
+
"<sil>",
|
| 8 |
+
"<pause_comma>",
|
| 9 |
+
"<pause_semicolon>",
|
| 10 |
+
"<pause_colon>",
|
| 11 |
+
"<pause_dash>",
|
| 12 |
+
"<ellipsis>",
|
| 13 |
+
"<end_stmt>",
|
| 14 |
+
"<end_question>",
|
| 15 |
+
"<end_exclaim>",
|
| 16 |
+
"<ctx_sentence_start>",
|
| 17 |
+
"<ctx_continuation>",
|
| 18 |
+
"<ctx_sentence_end>",
|
| 19 |
+
"<ctx_chunk_continue>"
|
| 20 |
+
],
|
| 21 |
+
"token_to_id": {
|
| 22 |
+
"<ctx_chunk_continue>": 14,
|
| 23 |
+
"<ctx_continuation>": 12,
|
| 24 |
+
"<ctx_sentence_end>": 13,
|
| 25 |
+
"<ctx_sentence_start>": 11,
|
| 26 |
+
"<ellipsis>": 7,
|
| 27 |
+
"<end_exclaim>": 10,
|
| 28 |
+
"<end_question>": 9,
|
| 29 |
+
"<end_stmt>": 8,
|
| 30 |
+
"<pad>": 0,
|
| 31 |
+
"<pause_colon>": 5,
|
| 32 |
+
"<pause_comma>": 3,
|
| 33 |
+
"<pause_dash>": 6,
|
| 34 |
+
"<pause_semicolon>": 4,
|
| 35 |
+
"<sil>": 2,
|
| 36 |
+
"<unk>": 1,
|
| 37 |
+
"a": 15,
|
| 38 |
+
"b": 16,
|
| 39 |
+
"d": 17,
|
| 40 |
+
"e": 18,
|
| 41 |
+
"f": 19,
|
| 42 |
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"h": 20,
|
| 43 |
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"i": 21,
|
| 44 |
+
"j": 22,
|
| 45 |
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"k": 23,
|
| 46 |
+
"l": 24,
|
| 47 |
+
"m": 25,
|
| 48 |
+
"n": 26,
|
| 49 |
+
"o": 27,
|
| 50 |
+
"p": 28,
|
| 51 |
+
"r": 29,
|
| 52 |
+
"s": 30,
|
| 53 |
+
"t": 31,
|
| 54 |
+
"u": 32,
|
| 55 |
+
"v": 33,
|
| 56 |
+
"w": 34,
|
| 57 |
+
"x": 35,
|
| 58 |
+
"y": 36,
|
| 59 |
+
"z": 37,
|
| 60 |
+
"æ": 38,
|
| 61 |
+
"ð": 39,
|
| 62 |
+
"ŋ": 40,
|
| 63 |
+
"ɐ": 41,
|
| 64 |
+
"ɑ": 42,
|
| 65 |
+
"ɒ": 43,
|
| 66 |
+
"ɔ": 44,
|
| 67 |
+
"ə": 45,
|
| 68 |
+
"ɚ": 46,
|
| 69 |
+
"ɛ": 47,
|
| 70 |
+
"ɜ": 48,
|
| 71 |
+
"ɡ": 49,
|
| 72 |
+
"ɣ": 50,
|
| 73 |
+
"ɪ": 51,
|
| 74 |
+
"ɬ": 52,
|
| 75 |
+
"ɲ": 53,
|
| 76 |
+
"ɹ": 54,
|
| 77 |
+
"ɾ": 55,
|
| 78 |
+
"ʁ": 56,
|
| 79 |
+
"ʃ": 57,
|
| 80 |
+
"ʊ": 58,
|
| 81 |
+
"ʌ": 59,
|
| 82 |
+
"ʎ": 60,
|
| 83 |
+
"ʒ": 61,
|
| 84 |
+
"ʔ": 62,
|
| 85 |
+
"ʝ": 63,
|
| 86 |
+
"ʲ": 64,
|
| 87 |
+
"ˈ": 65,
|
| 88 |
+
"ˌ": 66,
|
| 89 |
+
"ː": 67,
|
| 90 |
+
"̃": 68,
|
| 91 |
+
"̩": 69,
|
| 92 |
+
"̪": 70,
|
| 93 |
+
"β": 71,
|
| 94 |
+
"θ": 72,
|
| 95 |
+
"ᵻ": 73
|
| 96 |
+
},
|
| 97 |
+
"vocab_size": 74
|
| 98 |
+
}
|
litert/assets/voice_packs/ariadne.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f4fc82e88797393c6d6eebeba07b4bebe635e8d7f1659c7a2cd8ad4b20867a9
|
| 3 |
+
size 58894
|
litert/assets/voice_packs/felix.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:eedbe3d0a65556c0e96b2213969bdcb8308dc943365d184796eb0c446d0cf3a3
|
| 3 |
+
size 58894
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litert/assets/voice_packs/gwen.npz
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/ink.npz
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/max.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/orpheus.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/reference_packs.json
ADDED
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The diff for this file is too large to render.
See raw diff
|
|
|
litert/assets/voice_packs/rex.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 58894
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litert/assets/voice_packs/scylla.npz
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/stone.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voice_packs/tuesday.npz
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 58894
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litert/assets/voices.json
ADDED
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@@ -0,0 +1,562 @@
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|
| 1 |
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[
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| 2 |
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{
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| 3 |
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"id": "ariadne",
|
| 4 |
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"index": 0,
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| 5 |
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"samples": 206804,
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| 6 |
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"duration_seconds": 846611.6172083436,
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|
| 11 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 24 |
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|
| 25 |
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| 26 |
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| 35 |
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| 50 |
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"it|unsure": 7260
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| 51 |
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| 52 |
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| 53 |
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|
| 54 |
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|
| 55 |
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| 56 |
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| 57 |
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},
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| 58 |
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{
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| 59 |
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|
| 60 |
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| 61 |
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"samples": 180038,
|
| 62 |
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| 80 |
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|
|
| 1 |
+
{
|
| 2 |
+
"architecture": "scyllasband-duration-flow",
|
| 3 |
+
"assets": {
|
| 4 |
+
"emotion_index": "assets/emotions.json",
|
| 5 |
+
"g2p_config": "assets/g2p/export_config.json",
|
| 6 |
+
"g2p_language_map": "assets/g2p/language_map.json",
|
| 7 |
+
"g2p_normalization": "assets/g2p/normalization.json",
|
| 8 |
+
"g2p_phoneme_dict": "assets/g2p/phoneme_dict.json",
|
| 9 |
+
"g2p_pronunciation_overrides": "assets/g2p/pronunciation_overrides.json",
|
| 10 |
+
"g2p_tokenizer": "assets/g2p/tokenizer.json",
|
| 11 |
+
"language_index": "assets/languages.json",
|
| 12 |
+
"phone_vocab": "assets/phone_vocab.json",
|
| 13 |
+
"voice_index": "assets/voices.json",
|
| 14 |
+
"voice_pack_manifest": "assets/voice_packs/reference_packs.json",
|
| 15 |
+
"voice_packs": "assets/voice_packs"
|
| 16 |
+
},
|
| 17 |
+
"audio": {
|
| 18 |
+
"hop_length": 256,
|
| 19 |
+
"latent_dim": 24,
|
| 20 |
+
"latent_hop_length": 512,
|
| 21 |
+
"n_mels": 100,
|
| 22 |
+
"sample_rate": 24000
|
| 23 |
+
},
|
| 24 |
+
"components": {
|
| 25 |
+
"duration_predictor": {
|
| 26 |
+
"artifacts": {
|
| 27 |
+
"litert": {
|
| 28 |
+
"format": "litert",
|
| 29 |
+
"path": "litert/duration_predictor.tflite"
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
"inputs": [
|
| 33 |
+
"phone_ids",
|
| 34 |
+
"voice_id",
|
| 35 |
+
"language_id",
|
| 36 |
+
"affect_values",
|
| 37 |
+
"boundary_before_id",
|
| 38 |
+
"boundary_after_id",
|
| 39 |
+
"phone_mask",
|
| 40 |
+
"affect_condition_mask",
|
| 41 |
+
"reference_style",
|
| 42 |
+
"reference_prosody",
|
| 43 |
+
"reference_mask",
|
| 44 |
+
"reference_condition_mask"
|
| 45 |
+
],
|
| 46 |
+
"outputs": [
|
| 47 |
+
"durations"
|
| 48 |
+
],
|
| 49 |
+
"required": true
|
| 50 |
+
},
|
| 51 |
+
"g2p": {
|
| 52 |
+
"artifacts": {
|
| 53 |
+
"litert": {
|
| 54 |
+
"format": "litert",
|
| 55 |
+
"path": "litert/g2p.tflite"
|
| 56 |
+
}
|
| 57 |
+
},
|
| 58 |
+
"inputs": [
|
| 59 |
+
"text",
|
| 60 |
+
"language"
|
| 61 |
+
],
|
| 62 |
+
"outputs": [
|
| 63 |
+
"phones"
|
| 64 |
+
],
|
| 65 |
+
"required": true
|
| 66 |
+
},
|
| 67 |
+
"vector_context_encoder": {
|
| 68 |
+
"artifacts": {
|
| 69 |
+
"litert": {
|
| 70 |
+
"format": "litert",
|
| 71 |
+
"path": "litert/vector_context_encoder.tflite"
|
| 72 |
+
}
|
| 73 |
+
},
|
| 74 |
+
"inputs": [
|
| 75 |
+
"span_context_phone_ids",
|
| 76 |
+
"span_context_segment_ids",
|
| 77 |
+
"span_context_mask"
|
| 78 |
+
],
|
| 79 |
+
"outputs": [
|
| 80 |
+
"span_context_hidden"
|
| 81 |
+
],
|
| 82 |
+
"required": true
|
| 83 |
+
},
|
| 84 |
+
"vector_estimator": {
|
| 85 |
+
"artifacts": {
|
| 86 |
+
"litert": {
|
| 87 |
+
"format": "litert",
|
| 88 |
+
"path": "litert/vector_estimator.tflite"
|
| 89 |
+
}
|
| 90 |
+
},
|
| 91 |
+
"inputs": [
|
| 92 |
+
"noise",
|
| 93 |
+
"time",
|
| 94 |
+
"expanded_phone_ids",
|
| 95 |
+
"voice_id",
|
| 96 |
+
"language_id",
|
| 97 |
+
"affect_values",
|
| 98 |
+
"boundary_before_id",
|
| 99 |
+
"boundary_after_id",
|
| 100 |
+
"latent_mask",
|
| 101 |
+
"affect_condition_mask",
|
| 102 |
+
"reference_style",
|
| 103 |
+
"reference_prosody",
|
| 104 |
+
"reference_mask",
|
| 105 |
+
"reference_condition_mask",
|
| 106 |
+
"prefix_latents",
|
| 107 |
+
"prefix_mask",
|
| 108 |
+
"span_context_hidden"
|
| 109 |
+
],
|
| 110 |
+
"outputs": [
|
| 111 |
+
"latent_velocity"
|
| 112 |
+
],
|
| 113 |
+
"required": true
|
| 114 |
+
},
|
| 115 |
+
"vector_estimator_256": {
|
| 116 |
+
"artifacts": {
|
| 117 |
+
"litert": {
|
| 118 |
+
"format": "litert",
|
| 119 |
+
"path": "litert/vector_estimator_256.tflite"
|
| 120 |
+
}
|
| 121 |
+
},
|
| 122 |
+
"inputs": [
|
| 123 |
+
"noise",
|
| 124 |
+
"time",
|
| 125 |
+
"expanded_phone_ids",
|
| 126 |
+
"voice_id",
|
| 127 |
+
"language_id",
|
| 128 |
+
"affect_values",
|
| 129 |
+
"boundary_before_id",
|
| 130 |
+
"boundary_after_id",
|
| 131 |
+
"latent_mask",
|
| 132 |
+
"affect_condition_mask",
|
| 133 |
+
"reference_style",
|
| 134 |
+
"reference_prosody",
|
| 135 |
+
"reference_mask",
|
| 136 |
+
"reference_condition_mask",
|
| 137 |
+
"prefix_latents",
|
| 138 |
+
"prefix_mask",
|
| 139 |
+
"span_context_hidden"
|
| 140 |
+
],
|
| 141 |
+
"outputs": [
|
| 142 |
+
"velocity"
|
| 143 |
+
],
|
| 144 |
+
"required": false
|
| 145 |
+
},
|
| 146 |
+
"vector_estimator_384": {
|
| 147 |
+
"artifacts": {
|
| 148 |
+
"litert": {
|
| 149 |
+
"format": "litert",
|
| 150 |
+
"path": "litert/vector_estimator_384.tflite"
|
| 151 |
+
}
|
| 152 |
+
},
|
| 153 |
+
"inputs": [
|
| 154 |
+
"noise",
|
| 155 |
+
"time",
|
| 156 |
+
"expanded_phone_ids",
|
| 157 |
+
"voice_id",
|
| 158 |
+
"language_id",
|
| 159 |
+
"affect_values",
|
| 160 |
+
"boundary_before_id",
|
| 161 |
+
"boundary_after_id",
|
| 162 |
+
"latent_mask",
|
| 163 |
+
"affect_condition_mask",
|
| 164 |
+
"reference_style",
|
| 165 |
+
"reference_prosody",
|
| 166 |
+
"reference_mask",
|
| 167 |
+
"reference_condition_mask",
|
| 168 |
+
"prefix_latents",
|
| 169 |
+
"prefix_mask",
|
| 170 |
+
"span_context_hidden"
|
| 171 |
+
],
|
| 172 |
+
"outputs": [
|
| 173 |
+
"velocity"
|
| 174 |
+
],
|
| 175 |
+
"required": false
|
| 176 |
+
},
|
| 177 |
+
"vector_estimator_512": {
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| 629 |
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|
| 630 |
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|
| 631 |
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|
| 632 |
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|
| 633 |
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| 634 |
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| 635 |
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| 636 |
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| 637 |
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|
| 638 |
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| 639 |
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| 640 |
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| 641 |
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| 642 |
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|
| 643 |
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| 644 |
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|
| 645 |
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| 646 |
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| 647 |
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| 648 |
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| 649 |
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|
| 650 |
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| 651 |
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| 652 |
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| 653 |
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| 654 |
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| 655 |
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| 656 |
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| 657 |
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| 658 |
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| 659 |
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| 660 |
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| 661 |
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| 663 |
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| 664 |
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| 665 |
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| 666 |
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| 667 |
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| 668 |
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| 669 |
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| 670 |
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| 671 |
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| 672 |
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| 673 |
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| 674 |
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| 675 |
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|
| 676 |
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| 677 |
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| 678 |
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| 679 |
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|
| 680 |
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| 681 |
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| 682 |
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| 683 |
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| 684 |
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| 686 |
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| 689 |
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| 690 |
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| 691 |
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| 692 |
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| 693 |
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| 694 |
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| 695 |
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| 696 |
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| 697 |
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| 698 |
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| 700 |
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| 702 |
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| 703 |
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| 704 |
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| 705 |
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| 708 |
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| 709 |
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|
| 710 |
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|
| 711 |
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|
| 712 |
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| 713 |
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|
| 714 |
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| 717 |
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| 718 |
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| 719 |
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| 720 |
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| 721 |
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| 723 |
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| 727 |
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| 728 |
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| 730 |
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| 731 |
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| 733 |
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| 736 |
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| 738 |
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| 739 |
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| 740 |
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| 741 |
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| 746 |
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| 747 |
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| 748 |
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{
|
| 749 |
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| 750 |
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| 751 |
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| 752 |
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| 753 |
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| 754 |
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| 755 |
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| 756 |
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{
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| 757 |
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| 758 |
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| 759 |
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| 760 |
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| 761 |
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|
| 762 |
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|
| 763 |
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|
| 764 |
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| 765 |
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| 766 |
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|
| 767 |
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"policy": "smallest_fit"
|
| 768 |
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|
| 769 |
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| 770 |
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|
| 771 |
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| 784 |
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|
| 785 |
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"export_status": "complete_litert",
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| 786 |
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"languages": [
|
| 787 |
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|
| 788 |
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|
| 789 |
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|
| 790 |
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"it"
|
| 791 |
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],
|
| 792 |
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"model_name": "scyllasband",
|
| 793 |
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|
| 794 |
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|
| 795 |
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|
| 796 |
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|
| 797 |
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{
|
| 798 |
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"default_language": "en_us",
|
| 799 |
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"embedding_path": "assets/voice_packs/ariadne.npz",
|
| 800 |
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"id": "ariadne",
|
| 801 |
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"languages": [
|
| 802 |
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|
| 803 |
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|
| 804 |
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| 805 |
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|
| 806 |
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| 807 |
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"name": "ariadne",
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| 808 |
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| 809 |
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"default"
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| 810 |
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| 811 |
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| 812 |
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|
| 813 |
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| 814 |
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|
| 815 |
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"id": "felix",
|
| 816 |
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|
| 817 |
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| 818 |
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| 819 |
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|
| 820 |
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"it"
|
| 821 |
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],
|
| 822 |
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"name": "felix",
|
| 823 |
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| 824 |
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"default"
|
| 825 |
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]
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| 826 |
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| 827 |
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{
|
| 828 |
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"default_language": "en_us",
|
| 829 |
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"embedding_path": "assets/voice_packs/gwen.npz",
|
| 830 |
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"id": "gwen",
|
| 831 |
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|
| 832 |
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|
| 833 |
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|
| 834 |
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|
| 835 |
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|
| 836 |
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| 837 |
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"name": "gwen",
|
| 838 |
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| 839 |
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"default"
|
| 840 |
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]
|
| 841 |
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},
|
| 842 |
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{
|
| 843 |
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"default_language": "en_gb",
|
| 844 |
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"embedding_path": "assets/voice_packs/ink.npz",
|
| 845 |
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"id": "ink",
|
| 846 |
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"languages": [
|
| 847 |
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"en_gb",
|
| 848 |
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"en_us",
|
| 849 |
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"es",
|
| 850 |
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"it"
|
| 851 |
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],
|
| 852 |
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"name": "ink",
|
| 853 |
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"styles": [
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| 854 |
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"default"
|
| 855 |
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|
| 856 |
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},
|
| 857 |
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{
|
| 858 |
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"default_language": "en_us",
|
| 859 |
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"embedding_path": "assets/voice_packs/max.npz",
|
| 860 |
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"id": "max",
|
| 861 |
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"languages": [
|
| 862 |
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"en_us",
|
| 863 |
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"en_gb",
|
| 864 |
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"es",
|
| 865 |
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"it"
|
| 866 |
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],
|
| 867 |
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"name": "max",
|
| 868 |
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"styles": [
|
| 869 |
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"default"
|
| 870 |
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]
|
| 871 |
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},
|
| 872 |
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{
|
| 873 |
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|
| 874 |
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"embedding_path": "assets/voice_packs/orpheus.npz",
|
| 875 |
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"id": "orpheus",
|
| 876 |
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"languages": [
|
| 877 |
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"en_gb",
|
| 878 |
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"en_us",
|
| 879 |
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"es",
|
| 880 |
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"it"
|
| 881 |
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],
|
| 882 |
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"name": "orpheus",
|
| 883 |
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"styles": [
|
| 884 |
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"default"
|
| 885 |
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]
|
| 886 |
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},
|
| 887 |
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{
|
| 888 |
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"default_language": "en_us",
|
| 889 |
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"embedding_path": "assets/voice_packs/rex.npz",
|
| 890 |
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"id": "rex",
|
| 891 |
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"languages": [
|
| 892 |
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"en_us",
|
| 893 |
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"en_gb",
|
| 894 |
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"es",
|
| 895 |
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"it"
|
| 896 |
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],
|
| 897 |
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"name": "rex",
|
| 898 |
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"styles": [
|
| 899 |
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"default"
|
| 900 |
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]
|
| 901 |
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},
|
| 902 |
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{
|
| 903 |
+
"default_language": "en_us",
|
| 904 |
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"embedding_path": "assets/voice_packs/scylla.npz",
|
| 905 |
+
"id": "scylla",
|
| 906 |
+
"languages": [
|
| 907 |
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"en_us",
|
| 908 |
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"en_gb",
|
| 909 |
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"es",
|
| 910 |
+
"it"
|
| 911 |
+
],
|
| 912 |
+
"name": "scylla",
|
| 913 |
+
"styles": [
|
| 914 |
+
"default"
|
| 915 |
+
]
|
| 916 |
+
},
|
| 917 |
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{
|
| 918 |
+
"default_language": "en_us",
|
| 919 |
+
"embedding_path": "assets/voice_packs/stone.npz",
|
| 920 |
+
"id": "stone",
|
| 921 |
+
"languages": [
|
| 922 |
+
"en_us",
|
| 923 |
+
"en_gb",
|
| 924 |
+
"es",
|
| 925 |
+
"it"
|
| 926 |
+
],
|
| 927 |
+
"name": "stone",
|
| 928 |
+
"styles": [
|
| 929 |
+
"default"
|
| 930 |
+
]
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"default_language": "en_gb",
|
| 934 |
+
"embedding_path": "assets/voice_packs/tuesday.npz",
|
| 935 |
+
"id": "tuesday",
|
| 936 |
+
"languages": [
|
| 937 |
+
"en_gb",
|
| 938 |
+
"en_us",
|
| 939 |
+
"es",
|
| 940 |
+
"it"
|
| 941 |
+
],
|
| 942 |
+
"name": "tuesday",
|
| 943 |
+
"styles": [
|
| 944 |
+
"default"
|
| 945 |
+
]
|
| 946 |
+
}
|
| 947 |
+
]
|
| 948 |
+
}
|
onnx/assets/emotions.json
ADDED
|
@@ -0,0 +1,263 @@
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
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|
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| 1 |
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[
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| 2 |
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| 4 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 95 |
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| 96 |
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| 98 |
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| 108 |
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| 110 |
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| 111 |
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| 112 |
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| 114 |
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| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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{
|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 131 |
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|
| 146 |
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| 147 |
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{
|
| 148 |
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| 149 |
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|
| 150 |
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|
| 151 |
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| 153 |
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| 156 |
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| 157 |
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| 158 |
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| 159 |
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| 162 |
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| 172 |
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|
| 174 |
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|
| 175 |
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| 176 |
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{
|
| 177 |
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| 178 |
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|
| 179 |
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|
| 180 |
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| 183 |
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| 186 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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{
|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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},
|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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},
|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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}
|
| 233 |
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},
|
| 234 |
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{
|
| 235 |
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"id": "unsure",
|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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},
|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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},
|
| 256 |
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|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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}
|
| 262 |
+
}
|
| 263 |
+
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|
onnx/assets/g2p/export_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"batch_dynamic": true,
|
| 3 |
+
"format": "scyllasband_g2p",
|
| 4 |
+
"input_granularity": "phrase",
|
| 5 |
+
"languages": [
|
| 6 |
+
"en_gb",
|
| 7 |
+
"en_us",
|
| 8 |
+
"es",
|
| 9 |
+
"it"
|
| 10 |
+
],
|
| 11 |
+
"model_type": "transformer",
|
| 12 |
+
"onnx_export_batch_size": 1,
|
| 13 |
+
"onnx_export_layout": "batch_first",
|
| 14 |
+
"onnx_export_max_batch_size": 256,
|
| 15 |
+
"onnx_exporter": "legacy",
|
| 16 |
+
"onnx_fp32_model": "",
|
| 17 |
+
"onnx_quantization": "none",
|
| 18 |
+
"onnx_quantized_parity_tolerance": 1.0,
|
| 19 |
+
"opset": 18,
|
| 20 |
+
"phoneme_token_mode": "char",
|
| 21 |
+
"phrase_rows_per_language": 100000,
|
| 22 |
+
"punctuation_silence_target": "explicit_silence",
|
| 23 |
+
"source_checkpoint": "output/deepphonemizer_multilingual/model_200k_wikt_kokoro_en_us_en_gb_phrase/checkpoints/best_model.pt",
|
| 24 |
+
"training_mix": "scyllasband_phrase_word_chunked_clean",
|
| 25 |
+
"word_rows_per_language": 15000
|
| 26 |
+
}
|
onnx/assets/g2p/language_map.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"american": "en_us",
|
| 3 |
+
"american_english": "en_us",
|
| 4 |
+
"british": "en_gb",
|
| 5 |
+
"british_english": "en_gb",
|
| 6 |
+
"en": "en_us",
|
| 7 |
+
"en-gb": "en_gb",
|
| 8 |
+
"en-uk": "en_gb",
|
| 9 |
+
"en-us": "en_us",
|
| 10 |
+
"en_gb": "en_gb",
|
| 11 |
+
"en_uk": "en_gb",
|
| 12 |
+
"en_us": "en_us",
|
| 13 |
+
"eng": "en_us",
|
| 14 |
+
"eng_gb": "en_gb",
|
| 15 |
+
"eng_us": "en_us",
|
| 16 |
+
"english": "en_us",
|
| 17 |
+
"english_gb": "en_gb",
|
| 18 |
+
"english_uk": "en_gb",
|
| 19 |
+
"english_us": "en_us",
|
| 20 |
+
"es": "es",
|
| 21 |
+
"gb": "en_gb",
|
| 22 |
+
"it": "it",
|
| 23 |
+
"ita": "it",
|
| 24 |
+
"italian": "it",
|
| 25 |
+
"spa": "es",
|
| 26 |
+
"spanish": "es",
|
| 27 |
+
"uk": "en_gb",
|
| 28 |
+
"us": "en_us"
|
| 29 |
+
}
|
onnx/assets/g2p/normalization.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"normalizer": "SpokenTextNormalizer",
|
| 3 |
+
"languages": [
|
| 4 |
+
"en",
|
| 5 |
+
"en_us",
|
| 6 |
+
"en_gb",
|
| 7 |
+
"es",
|
| 8 |
+
"it"
|
| 9 |
+
],
|
| 10 |
+
"expand_currency": true,
|
| 11 |
+
"expand_numbers": true,
|
| 12 |
+
"expand_ordinals": true,
|
| 13 |
+
"expand_percentages": true,
|
| 14 |
+
"expand_times": true,
|
| 15 |
+
"expand_dates": true,
|
| 16 |
+
"normalize_at_sign": true,
|
| 17 |
+
"normalize_punctuation": true
|
| 18 |
+
}
|
onnx/assets/g2p/phoneme_dict.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"en_gb": {},
|
| 3 |
+
"en_us": {},
|
| 4 |
+
"es": {},
|
| 5 |
+
"it": {}
|
| 6 |
+
}
|
onnx/assets/g2p/pronunciation_overrides.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "scyllasband_g2p_pronunciation_overrides_v1",
|
| 3 |
+
"languages": {}
|
| 4 |
+
}
|
onnx/assets/g2p/tokenizer.json
ADDED
|
@@ -0,0 +1,368 @@
|
|
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|
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|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"format": "deepphonemizer_forward_ctc",
|
| 3 |
+
"languages": [
|
| 4 |
+
"en_gb",
|
| 5 |
+
"en_us",
|
| 6 |
+
"es",
|
| 7 |
+
"it"
|
| 8 |
+
],
|
| 9 |
+
"char_repeats": 4,
|
| 10 |
+
"lowercase": true,
|
| 11 |
+
"phoneme_token_mode": "char",
|
| 12 |
+
"text_symbols": {
|
| 13 |
+
"_": 0,
|
| 14 |
+
"<en_gb>": 1,
|
| 15 |
+
"<en_us>": 2,
|
| 16 |
+
"<es>": 3,
|
| 17 |
+
"<it>": 4,
|
| 18 |
+
"<end>": 5,
|
| 19 |
+
"\b": 6,
|
| 20 |
+
" ": 7,
|
| 21 |
+
"!": 8,
|
| 22 |
+
"\"": 9,
|
| 23 |
+
"#": 10,
|
| 24 |
+
"$": 11,
|
| 25 |
+
"%": 12,
|
| 26 |
+
"&": 13,
|
| 27 |
+
"'": 14,
|
| 28 |
+
"(": 15,
|
| 29 |
+
")": 16,
|
| 30 |
+
"*": 17,
|
| 31 |
+
"+": 18,
|
| 32 |
+
",": 19,
|
| 33 |
+
"-": 20,
|
| 34 |
+
".": 21,
|
| 35 |
+
"/": 22,
|
| 36 |
+
"0": 23,
|
| 37 |
+
"1": 24,
|
| 38 |
+
"2": 25,
|
| 39 |
+
"3": 26,
|
| 40 |
+
"4": 27,
|
| 41 |
+
"5": 28,
|
| 42 |
+
"6": 29,
|
| 43 |
+
"7": 30,
|
| 44 |
+
"8": 31,
|
| 45 |
+
"9": 32,
|
| 46 |
+
":": 33,
|
| 47 |
+
";": 34,
|
| 48 |
+
"<": 35,
|
| 49 |
+
"=": 36,
|
| 50 |
+
">": 37,
|
| 51 |
+
"?": 38,
|
| 52 |
+
"@": 39,
|
| 53 |
+
"A": 40,
|
| 54 |
+
"B": 41,
|
| 55 |
+
"C": 42,
|
| 56 |
+
"D": 43,
|
| 57 |
+
"E": 44,
|
| 58 |
+
"F": 45,
|
| 59 |
+
"G": 46,
|
| 60 |
+
"H": 47,
|
| 61 |
+
"I": 48,
|
| 62 |
+
"J": 49,
|
| 63 |
+
"K": 50,
|
| 64 |
+
"L": 51,
|
| 65 |
+
"M": 52,
|
| 66 |
+
"N": 53,
|
| 67 |
+
"O": 54,
|
| 68 |
+
"P": 55,
|
| 69 |
+
"Q": 56,
|
| 70 |
+
"R": 57,
|
| 71 |
+
"S": 58,
|
| 72 |
+
"T": 59,
|
| 73 |
+
"U": 60,
|
| 74 |
+
"V": 61,
|
| 75 |
+
"W": 62,
|
| 76 |
+
"X": 63,
|
| 77 |
+
"Y": 64,
|
| 78 |
+
"Z": 65,
|
| 79 |
+
"[": 66,
|
| 80 |
+
"\\": 67,
|
| 81 |
+
"]": 68,
|
| 82 |
+
"^": 69,
|
| 83 |
+
"`": 70,
|
| 84 |
+
"a": 71,
|
| 85 |
+
"b": 72,
|
| 86 |
+
"c": 73,
|
| 87 |
+
"d": 74,
|
| 88 |
+
"e": 75,
|
| 89 |
+
"f": 76,
|
| 90 |
+
"g": 77,
|
| 91 |
+
"h": 78,
|
| 92 |
+
"i": 79,
|
| 93 |
+
"j": 80,
|
| 94 |
+
"k": 81,
|
| 95 |
+
"l": 82,
|
| 96 |
+
"m": 83,
|
| 97 |
+
"n": 84,
|
| 98 |
+
"o": 85,
|
| 99 |
+
"p": 86,
|
| 100 |
+
"q": 87,
|
| 101 |
+
"r": 88,
|
| 102 |
+
"s": 89,
|
| 103 |
+
"t": 90,
|
| 104 |
+
"u": 91,
|
| 105 |
+
"v": 92,
|
| 106 |
+
"w": 93,
|
| 107 |
+
"x": 94,
|
| 108 |
+
"y": 95,
|
| 109 |
+
"z": 96,
|
| 110 |
+
"{": 97,
|
| 111 |
+
"|": 98,
|
| 112 |
+
"}": 99,
|
| 113 |
+
"~": 100,
|
| 114 |
+
"¡": 101,
|
| 115 |
+
"¢": 102,
|
| 116 |
+
"£": 103,
|
| 117 |
+
"¥": 104,
|
| 118 |
+
"ª": 105,
|
| 119 |
+
"«": 106,
|
| 120 |
+
"": 107,
|
| 121 |
+
"®": 108,
|
| 122 |
+
"°": 109,
|
| 123 |
+
"²": 110,
|
| 124 |
+
"³": 111,
|
| 125 |
+
"´": 112,
|
| 126 |
+
"·": 113,
|
| 127 |
+
"¹": 114,
|
| 128 |
+
"º": 115,
|
| 129 |
+
"»": 116,
|
| 130 |
+
"¼": 117,
|
| 131 |
+
"½": 118,
|
| 132 |
+
"¿": 119,
|
| 133 |
+
"Á": 120,
|
| 134 |
+
"Å": 121,
|
| 135 |
+
"Æ": 122,
|
| 136 |
+
"Ç": 123,
|
| 137 |
+
"È": 124,
|
| 138 |
+
"É": 125,
|
| 139 |
+
"Í": 126,
|
| 140 |
+
"Ñ": 127,
|
| 141 |
+
"Ò": 128,
|
| 142 |
+
"Ó": 129,
|
| 143 |
+
"Ö": 130,
|
| 144 |
+
"×": 131,
|
| 145 |
+
"Ø": 132,
|
| 146 |
+
"Ú": 133,
|
| 147 |
+
"ß": 134,
|
| 148 |
+
"à": 135,
|
| 149 |
+
"á": 136,
|
| 150 |
+
"â": 137,
|
| 151 |
+
"ã": 138,
|
| 152 |
+
"ä": 139,
|
| 153 |
+
"å": 140,
|
| 154 |
+
"æ": 141,
|
| 155 |
+
"ç": 142,
|
| 156 |
+
"è": 143,
|
| 157 |
+
"é": 144,
|
| 158 |
+
"ê": 145,
|
| 159 |
+
"ë": 146,
|
| 160 |
+
"ì": 147,
|
| 161 |
+
"í": 148,
|
| 162 |
+
"î": 149,
|
| 163 |
+
"ï": 150,
|
| 164 |
+
"ñ": 151,
|
| 165 |
+
"ò": 152,
|
| 166 |
+
"ó": 153,
|
| 167 |
+
"ô": 154,
|
| 168 |
+
"õ": 155,
|
| 169 |
+
"ö": 156,
|
| 170 |
+
"÷": 157,
|
| 171 |
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"ø": 158,
|
| 172 |
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"ù": 159,
|
| 173 |
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"ú": 160,
|
| 174 |
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"û": 161,
|
| 175 |
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"ü": 162,
|
| 176 |
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"ā": 163,
|
| 177 |
+
"ă": 164,
|
| 178 |
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"ą": 165,
|
| 179 |
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"ć": 166,
|
| 180 |
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"Ĉ": 167,
|
| 181 |
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"č": 168,
|
| 182 |
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"đ": 169,
|
| 183 |
+
"ē": 170,
|
| 184 |
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"ė": 171,
|
| 185 |
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"ę": 172,
|
| 186 |
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"ğ": 173,
|
| 187 |
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"ī": 174,
|
| 188 |
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"ı": 175,
|
| 189 |
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"ł": 176,
|
| 190 |
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"ń": 177,
|
| 191 |
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"ō": 178,
|
| 192 |
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"ő": 179,
|
| 193 |
+
"œ": 180,
|
| 194 |
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"ś": 181,
|
| 195 |
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"ş": 182,
|
| 196 |
+
"Š": 183,
|
| 197 |
+
"š": 184,
|
| 198 |
+
"Ţ": 185,
|
| 199 |
+
"ū": 186,
|
| 200 |
+
"ŭ": 187,
|
| 201 |
+
"ż": 188,
|
| 202 |
+
"ǀ": 189,
|
| 203 |
+
"ǎ": 190,
|
| 204 |
+
"ǐ": 191,
|
| 205 |
+
"ǔ": 192,
|
| 206 |
+
"ș": 193,
|
| 207 |
+
"ə": 194,
|
| 208 |
+
"ɣ": 195,
|
| 209 |
+
"ˈ": 196,
|
| 210 |
+
"̃": 197,
|
| 211 |
+
"̉": 198,
|
| 212 |
+
"μ": 199,
|
| 213 |
+
"π": 200,
|
| 214 |
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"С": 201,
|
| 215 |
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"в": 202,
|
| 216 |
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"е": 203,
|
| 217 |
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"й": 204,
|
| 218 |
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"н": 205,
|
| 219 |
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"о": 206,
|
| 220 |
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"р": 207,
|
| 221 |
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"с": 208,
|
| 222 |
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"т": 209,
|
| 223 |
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"ы": 210,
|
| 224 |
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"ѝ": 211,
|
| 225 |
+
"ַ": 212,
|
| 226 |
+
"א": 213,
|
| 227 |
+
"ל": 214,
|
| 228 |
+
"ע": 215,
|
| 229 |
+
"د": 216,
|
| 230 |
+
"ص": 217,
|
| 231 |
+
"م": 218,
|
| 232 |
+
"و": 219,
|
| 233 |
+
"ḥ": 220,
|
| 234 |
+
"ṛ": 221,
|
| 235 |
+
"ṣ": 222,
|
| 236 |
+
"ẓ": 223,
|
| 237 |
+
"ồ": 224,
|
| 238 |
+
"": 225,
|
| 239 |
+
"": 226,
|
| 240 |
+
"—": 227,
|
| 241 |
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"―": 228,
|
| 242 |
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"…": 229,
|
| 243 |
+
"⁻": 230,
|
| 244 |
+
"₂": 231,
|
| 245 |
+
"₃": 232,
|
| 246 |
+
"₤": 233,
|
| 247 |
+
"₪": 234,
|
| 248 |
+
"₫": 235,
|
| 249 |
+
"€": 236,
|
| 250 |
+
"₹": 237,
|
| 251 |
+
"℃": 238,
|
| 252 |
+
"√": 239,
|
| 253 |
+
"─": 240,
|
| 254 |
+
"☀": 241,
|
| 255 |
+
"☠": 242,
|
| 256 |
+
"⚓": 243,
|
| 257 |
+
"✨": 244,
|
| 258 |
+
"々": 245,
|
| 259 |
+
"・": 246,
|
| 260 |
+
"习": 247,
|
| 261 |
+
"務": 248,
|
| 262 |
+
"問": 249,
|
| 263 |
+
"学": 250,
|
| 264 |
+
"小": 251,
|
| 265 |
+
"师": 252,
|
| 266 |
+
"政": 253,
|
| 267 |
+
"老": 254,
|
| 268 |
+
"顧": 255,
|
| 269 |
+
"fi": 256,
|
| 270 |
+
"️": 257,
|
| 271 |
+
"🇭": 258,
|
| 272 |
+
"🇹": 259,
|
| 273 |
+
"🌊": 260,
|
| 274 |
+
"🌡": 261,
|
| 275 |
+
"🌿": 262,
|
| 276 |
+
"🎶": 263,
|
| 277 |
+
"🏴": 264,
|
| 278 |
+
"🐈": 265,
|
| 279 |
+
"🐾": 266,
|
| 280 |
+
"👠": 267,
|
| 281 |
+
"💦": 268,
|
| 282 |
+
"💨": 269,
|
| 283 |
+
"🔥": 270,
|
| 284 |
+
"😉": 271,
|
| 285 |
+
"😹": 272
|
| 286 |
+
},
|
| 287 |
+
"phoneme_symbols": {
|
| 288 |
+
"0": "_",
|
| 289 |
+
"1": "<en_gb>",
|
| 290 |
+
"2": "<en_us>",
|
| 291 |
+
"3": "<es>",
|
| 292 |
+
"4": "<it>",
|
| 293 |
+
"5": "<end>",
|
| 294 |
+
"6": " ",
|
| 295 |
+
"7": "!",
|
| 296 |
+
"8": ",",
|
| 297 |
+
"9": ".",
|
| 298 |
+
"10": "1",
|
| 299 |
+
"11": ":",
|
| 300 |
+
"12": ";",
|
| 301 |
+
"13": "?",
|
| 302 |
+
"14": "a",
|
| 303 |
+
"15": "b",
|
| 304 |
+
"16": "c",
|
| 305 |
+
"17": "d",
|
| 306 |
+
"18": "e",
|
| 307 |
+
"19": "f",
|
| 308 |
+
"20": "h",
|
| 309 |
+
"21": "i",
|
| 310 |
+
"22": "j",
|
| 311 |
+
"23": "k",
|
| 312 |
+
"24": "l",
|
| 313 |
+
"25": "m",
|
| 314 |
+
"26": "n",
|
| 315 |
+
"27": "o",
|
| 316 |
+
"28": "p",
|
| 317 |
+
"29": "r",
|
| 318 |
+
"30": "s",
|
| 319 |
+
"31": "t",
|
| 320 |
+
"32": "u",
|
| 321 |
+
"33": "v",
|
| 322 |
+
"34": "w",
|
| 323 |
+
"35": "x",
|
| 324 |
+
"36": "y",
|
| 325 |
+
"37": "z",
|
| 326 |
+
"38": "«",
|
| 327 |
+
"39": "»",
|
| 328 |
+
"40": "æ",
|
| 329 |
+
"41": "ð",
|
| 330 |
+
"42": "ŋ",
|
| 331 |
+
"43": "ɐ",
|
| 332 |
+
"44": "ɑ",
|
| 333 |
+
"45": "ɒ",
|
| 334 |
+
"46": "ɔ",
|
| 335 |
+
"47": "ə",
|
| 336 |
+
"48": "ɚ",
|
| 337 |
+
"49": "ɛ",
|
| 338 |
+
"50": "ɜ",
|
| 339 |
+
"51": "ɟ",
|
| 340 |
+
"52": "ɡ",
|
| 341 |
+
"53": "ɣ",
|
| 342 |
+
"54": "ɪ",
|
| 343 |
+
"55": "ɬ",
|
| 344 |
+
"56": "ɲ",
|
| 345 |
+
"57": "ɹ",
|
| 346 |
+
"58": "ɾ",
|
| 347 |
+
"59": "ʁ",
|
| 348 |
+
"60": "ʃ",
|
| 349 |
+
"61": "ʊ",
|
| 350 |
+
"62": "ʌ",
|
| 351 |
+
"63": "ʎ",
|
| 352 |
+
"64": "ʒ",
|
| 353 |
+
"65": "ʔ",
|
| 354 |
+
"66": "ʝ",
|
| 355 |
+
"67": "ʲ",
|
| 356 |
+
"68": "ˈ",
|
| 357 |
+
"69": "ˌ",
|
| 358 |
+
"70": "ː",
|
| 359 |
+
"71": "̃",
|
| 360 |
+
"72": "̩",
|
| 361 |
+
"73": "̪",
|
| 362 |
+
"74": "β",
|
| 363 |
+
"75": "θ",
|
| 364 |
+
"76": "ᵻ",
|
| 365 |
+
"77": "—",
|
| 366 |
+
"78": "…"
|
| 367 |
+
}
|
| 368 |
+
}
|
onnx/assets/languages.json
ADDED
|
@@ -0,0 +1,368 @@
|
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|
|
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|
|
|
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|
|
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|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"id": "en_us",
|
| 4 |
+
"index": 0,
|
| 5 |
+
"samples": 383914,
|
| 6 |
+
"duration_seconds": 1464718.5884999859,
|
| 7 |
+
"by_split": {
|
| 8 |
+
"test": 3756,
|
| 9 |
+
"train": 376354,
|
| 10 |
+
"val": 3804
|
| 11 |
+
},
|
| 12 |
+
"by_emotion": {
|
| 13 |
+
"angry": 43857,
|
| 14 |
+
"excited": 42121,
|
| 15 |
+
"friendly": 40812,
|
| 16 |
+
"frustrated": 41256,
|
| 17 |
+
"happy": 43370,
|
| 18 |
+
"neutral": 42681,
|
| 19 |
+
"sad": 42195,
|
| 20 |
+
"sarcastic": 48206,
|
| 21 |
+
"unsure": 39416
|
| 22 |
+
},
|
| 23 |
+
"by_voice_emotion": {
|
| 24 |
+
"ariadne|angry": 7303,
|
| 25 |
+
"ariadne|excited": 7243,
|
| 26 |
+
"ariadne|friendly": 6864,
|
| 27 |
+
"ariadne|frustrated": 6523,
|
| 28 |
+
"ariadne|happy": 7104,
|
| 29 |
+
"ariadne|neutral": 6513,
|
| 30 |
+
"ariadne|sad": 7106,
|
| 31 |
+
"ariadne|sarcastic": 8123,
|
| 32 |
+
"ariadne|unsure": 6311,
|
| 33 |
+
"felix|angry": 5994,
|
| 34 |
+
"felix|excited": 5328,
|
| 35 |
+
"felix|friendly": 5468,
|
| 36 |
+
"felix|frustrated": 5489,
|
| 37 |
+
"felix|happy": 5391,
|
| 38 |
+
"felix|neutral": 5752,
|
| 39 |
+
"felix|sad": 5501,
|
| 40 |
+
"felix|sarcastic": 6509,
|
| 41 |
+
"felix|unsure": 5216,
|
| 42 |
+
"gwen|angry": 5804,
|
| 43 |
+
"gwen|excited": 5863,
|
| 44 |
+
"gwen|friendly": 5406,
|
| 45 |
+
"gwen|frustrated": 5770,
|
| 46 |
+
"gwen|happy": 5605,
|
| 47 |
+
"gwen|neutral": 5683,
|
| 48 |
+
"gwen|sad": 5880,
|
| 49 |
+
"gwen|sarcastic": 6775,
|
| 50 |
+
"gwen|unsure": 5548,
|
| 51 |
+
"max|angry": 6874,
|
| 52 |
+
"max|excited": 6322,
|
| 53 |
+
"max|friendly": 6126,
|
| 54 |
+
"max|frustrated": 6506,
|
| 55 |
+
"max|happy": 6719,
|
| 56 |
+
"max|neutral": 6881,
|
| 57 |
+
"max|sad": 6687,
|
| 58 |
+
"max|sarcastic": 7018,
|
| 59 |
+
"max|unsure": 5585,
|
| 60 |
+
"rex|angry": 6482,
|
| 61 |
+
"rex|excited": 6376,
|
| 62 |
+
"rex|friendly": 6044,
|
| 63 |
+
"rex|frustrated": 6069,
|
| 64 |
+
"rex|happy": 6956,
|
| 65 |
+
"rex|neutral": 6284,
|
| 66 |
+
"rex|sad": 5906,
|
| 67 |
+
"rex|sarcastic": 6709,
|
| 68 |
+
"rex|unsure": 6043,
|
| 69 |
+
"scylla|angry": 5517,
|
| 70 |
+
"scylla|excited": 5525,
|
| 71 |
+
"scylla|friendly": 5542,
|
| 72 |
+
"scylla|frustrated": 5374,
|
| 73 |
+
"scylla|happy": 5641,
|
| 74 |
+
"scylla|neutral": 5412,
|
| 75 |
+
"scylla|sad": 5698,
|
| 76 |
+
"scylla|sarcastic": 6648,
|
| 77 |
+
"scylla|unsure": 5242,
|
| 78 |
+
"stone|angry": 5883,
|
| 79 |
+
"stone|excited": 5464,
|
| 80 |
+
"stone|friendly": 5362,
|
| 81 |
+
"stone|frustrated": 5525,
|
| 82 |
+
"stone|happy": 5954,
|
| 83 |
+
"stone|neutral": 6156,
|
| 84 |
+
"stone|sad": 5417,
|
| 85 |
+
"stone|sarcastic": 6424,
|
| 86 |
+
"stone|unsure": 5471
|
| 87 |
+
}
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"id": "en_gb",
|
| 91 |
+
"index": 1,
|
| 92 |
+
"samples": 164289,
|
| 93 |
+
"duration_seconds": 630126.1611666688,
|
| 94 |
+
"by_split": {
|
| 95 |
+
"test": 1597,
|
| 96 |
+
"train": 161012,
|
| 97 |
+
"val": 1680
|
| 98 |
+
},
|
| 99 |
+
"by_emotion": {
|
| 100 |
+
"angry": 18856,
|
| 101 |
+
"excited": 17386,
|
| 102 |
+
"friendly": 18347,
|
| 103 |
+
"frustrated": 17691,
|
| 104 |
+
"happy": 18822,
|
| 105 |
+
"neutral": 18471,
|
| 106 |
+
"sad": 18396,
|
| 107 |
+
"sarcastic": 20037,
|
| 108 |
+
"unsure": 16283
|
| 109 |
+
},
|
| 110 |
+
"by_voice_emotion": {
|
| 111 |
+
"ink|angry": 6827,
|
| 112 |
+
"ink|excited": 6274,
|
| 113 |
+
"ink|friendly": 6606,
|
| 114 |
+
"ink|frustrated": 6498,
|
| 115 |
+
"ink|happy": 6386,
|
| 116 |
+
"ink|neutral": 6634,
|
| 117 |
+
"ink|sad": 6967,
|
| 118 |
+
"ink|sarcastic": 7261,
|
| 119 |
+
"ink|unsure": 5789,
|
| 120 |
+
"orpheus|angry": 6007,
|
| 121 |
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| 252 |
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| 253 |
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| 254 |
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{
|
| 255 |
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| 256 |
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| 276 |
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|
| 342 |
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| 343 |
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|
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|
| 350 |
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|
| 351 |
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| 352 |
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|
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| 354 |
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|
| 357 |
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|
| 358 |
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|
| 359 |
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|
| 360 |
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| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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}
|
| 367 |
+
}
|
| 368 |
+
]
|
onnx/assets/phone_vocab.json
ADDED
|
@@ -0,0 +1,98 @@
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"mode": "scyllasband_ipa_phone_symbols",
|
| 3 |
+
"schema_version": 1,
|
| 4 |
+
"special_tokens": [
|
| 5 |
+
"<pad>",
|
| 6 |
+
"<unk>",
|
| 7 |
+
"<sil>",
|
| 8 |
+
"<pause_comma>",
|
| 9 |
+
"<pause_semicolon>",
|
| 10 |
+
"<pause_colon>",
|
| 11 |
+
"<pause_dash>",
|
| 12 |
+
"<ellipsis>",
|
| 13 |
+
"<end_stmt>",
|
| 14 |
+
"<end_question>",
|
| 15 |
+
"<end_exclaim>",
|
| 16 |
+
"<ctx_sentence_start>",
|
| 17 |
+
"<ctx_continuation>",
|
| 18 |
+
"<ctx_sentence_end>",
|
| 19 |
+
"<ctx_chunk_continue>"
|
| 20 |
+
],
|
| 21 |
+
"token_to_id": {
|
| 22 |
+
"<ctx_chunk_continue>": 14,
|
| 23 |
+
"<ctx_continuation>": 12,
|
| 24 |
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"<ctx_sentence_end>": 13,
|
| 25 |
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"<ctx_sentence_start>": 11,
|
| 26 |
+
"<ellipsis>": 7,
|
| 27 |
+
"<end_exclaim>": 10,
|
| 28 |
+
"<end_question>": 9,
|
| 29 |
+
"<end_stmt>": 8,
|
| 30 |
+
"<pad>": 0,
|
| 31 |
+
"<pause_colon>": 5,
|
| 32 |
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"<pause_comma>": 3,
|
| 33 |
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"<pause_dash>": 6,
|
| 34 |
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"<pause_semicolon>": 4,
|
| 35 |
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"<sil>": 2,
|
| 36 |
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"<unk>": 1,
|
| 37 |
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"a": 15,
|
| 38 |
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|
| 39 |
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"d": 17,
|
| 40 |
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"e": 18,
|
| 41 |
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|
| 42 |
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"h": 20,
|
| 43 |
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"i": 21,
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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"m": 25,
|
| 48 |
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"n": 26,
|
| 49 |
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"o": 27,
|
| 50 |
+
"p": 28,
|
| 51 |
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"r": 29,
|
| 52 |
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"s": 30,
|
| 53 |
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"t": 31,
|
| 54 |
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"u": 32,
|
| 55 |
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"v": 33,
|
| 56 |
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"w": 34,
|
| 57 |
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"x": 35,
|
| 58 |
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"y": 36,
|
| 59 |
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"z": 37,
|
| 60 |
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"æ": 38,
|
| 61 |
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"ð": 39,
|
| 62 |
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"ŋ": 40,
|
| 63 |
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"ɐ": 41,
|
| 64 |
+
"ɑ": 42,
|
| 65 |
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"ɒ": 43,
|
| 66 |
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"ɔ": 44,
|
| 67 |
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"ə": 45,
|
| 68 |
+
"ɚ": 46,
|
| 69 |
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"ɛ": 47,
|
| 70 |
+
"ɜ": 48,
|
| 71 |
+
"ɡ": 49,
|
| 72 |
+
"ɣ": 50,
|
| 73 |
+
"ɪ": 51,
|
| 74 |
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"ɬ": 52,
|
| 75 |
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"ɲ": 53,
|
| 76 |
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"ɹ": 54,
|
| 77 |
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"ɾ": 55,
|
| 78 |
+
"ʁ": 56,
|
| 79 |
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"ʃ": 57,
|
| 80 |
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"ʊ": 58,
|
| 81 |
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"ʌ": 59,
|
| 82 |
+
"ʎ": 60,
|
| 83 |
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"ʒ": 61,
|
| 84 |
+
"ʔ": 62,
|
| 85 |
+
"ʝ": 63,
|
| 86 |
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"ʲ": 64,
|
| 87 |
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"ˈ": 65,
|
| 88 |
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"ˌ": 66,
|
| 89 |
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"ː": 67,
|
| 90 |
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"̃": 68,
|
| 91 |
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"̩": 69,
|
| 92 |
+
"̪": 70,
|
| 93 |
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"β": 71,
|
| 94 |
+
"θ": 72,
|
| 95 |
+
"ᵻ": 73
|
| 96 |
+
},
|
| 97 |
+
"vocab_size": 74
|
| 98 |
+
}
|
onnx/assets/voice_packs/ariadne.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f4fc82e88797393c6d6eebeba07b4bebe635e8d7f1659c7a2cd8ad4b20867a9
|
| 3 |
+
size 58894
|
onnx/assets/voice_packs/felix.npz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eedbe3d0a65556c0e96b2213969bdcb8308dc943365d184796eb0c446d0cf3a3
|
| 3 |
+
size 58894
|