Instructions to use Muhammed-ai/TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use Muhammed-ai/TTS with Piper:
# 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
Add sherpa piper voice model archives
Browse files
README.md
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---
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license:
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---
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---
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license: other
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language:
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- tr
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- en
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tags:
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- text-to-speech
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- tts
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- piper
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- sherpa-onnx
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- onnx
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- mobile
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pipeline_tag: text-to-speech
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# SES Mobil Piper TTS Models
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This repository contains Piper VITS text-to-speech voices packaged for sherpa-onnx mobile usage.
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## Files
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| Archive | Language | Voice | Quality | Flutter archiveRoot | Flutter modelFileName |
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| --- | --- | --- | --- | --- | --- |
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| `vits-piper-en_US-bryce-medium.tar.bz2` | English | bryce | medium | `vits-piper-en_US-bryce-medium` | `en_US-bryce-medium.onnx` |
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| `vits-piper-tr_TR-fahrettin-medium.tar.bz2` | Turkish | fahrettin | medium | `vits-piper-tr_TR-fahrettin-medium` | `tr_TR-fahrettin-medium.onnx` |
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| `vits-piper-tr_TR-youtube1-training_data_yeni.tar.bz2` | Turkish | youtube1 | training_data_yeni | `vits-piper-tr_TR-youtube1-training_data_yeni` | `tr_TR-youtube1-training_data_yeni.onnx` |
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Each archive contains:
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```text
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vits-piper-.../
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*.onnx
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tokens.txt
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espeak-ng-data/
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```
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The ONNX files include sherpa-onnx metadata:
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```text
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model_type: vits
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comment: piper
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has_espeak: 1
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n_speakers: 1
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sample_rate: 22050
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```
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## Flutter Usage
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Use the Hugging Face direct download URL format:
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```text
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https://huggingface.co/Muhammed-ai/TTS/resolve/main/<archive-name>.tar.bz2
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```
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Example:
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```dart
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VoiceModel(
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id: 'tr_TR-fahrettin-medium',
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displayName: 'Fahrettin Turkce Ton',
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languageLabel: 'Turkce',
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quality: 'Medium',
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archiveUrl:
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'https://huggingface.co/Muhammed-ai/TTS/resolve/main/vits-piper-tr_TR-fahrettin-medium.tar.bz2',
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archiveRoot: 'vits-piper-tr_TR-fahrettin-medium',
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modelFileName: 'tr_TR-fahrettin-medium.onnx',
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),
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```
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## Notes
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These models are prepared for applications that load Piper VITS models through sherpa-onnx `OfflineTtsVitsModelConfig`.
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_cache/espeak-ng-data.tar.bz2
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version https://git-lfs.github.com/spec/v1
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oid sha256:4135ccf82e1f40613491c0874d4945ae9e9c7840933d8e25a6f9e003d9ebf533
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size 7252012
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manifest.json
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[
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{
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"source": "en_US-bryce-medium.onnx",
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"archive_root": "vits-piper-en_US-bryce-medium",
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"model_file_name": "en_US-bryce-medium.onnx",
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"archive_path": "C:\\Users\\MUHAMMED\\Desktop\\SES_MOBİL\\Model_dönüşüm\\output\\vits-piper-en_US-bryce-medium.tar.bz2",
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"token_count": 157,
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"metadata": {
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"model_type": "vits",
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"comment": "piper",
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"language": "English",
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"voice": "en",
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"has_espeak": 1,
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"n_speakers": 1,
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"sample_rate": 22050
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}
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},
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{
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"source": "fahrettin.onnx",
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"archive_root": "vits-piper-tr_TR-fahrettin-medium",
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"model_file_name": "tr_TR-fahrettin-medium.onnx",
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"archive_path": "C:\\Users\\MUHAMMED\\Desktop\\SES_MOBİL\\Model_dönüşüm\\output\\vits-piper-tr_TR-fahrettin-medium.tar.bz2",
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"token_count": 159,
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"metadata": {
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"model_type": "vits",
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"comment": "piper",
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"language": "Turkish",
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"voice": "tr",
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"has_espeak": 1,
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"n_speakers": 1,
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"sample_rate": 22050
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}
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},
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{
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"source": "youtube1.onnx",
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"archive_root": "vits-piper-tr_TR-youtube1-training_data_yeni",
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"model_file_name": "tr_TR-youtube1-training_data_yeni.onnx",
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"archive_path": "C:\\Users\\MUHAMMED\\Desktop\\SES_MOBİL\\Model_dönüşüm\\output\\vits-piper-tr_TR-youtube1-training_data_yeni.tar.bz2",
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"token_count": 157,
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"metadata": {
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"model_type": "vits",
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"comment": "piper",
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"language": "Turkish",
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"voice": "tr",
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"has_espeak": 1,
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"n_speakers": 1,
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"sample_rate": 22050
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}
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}
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]
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vits-piper-en_US-bryce-medium.tar.bz2
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d1653db48ff067ca467537b71caa68199a4ee949a6f4777829c92dbc41f5471
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size 67276880
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vits-piper-tr_TR-fahrettin-medium.tar.bz2
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6e1d2938105ba3761e21d011e9f948f764ffff268737f7ce1fc505d3afeba21
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size 67178661
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vits-piper-tr_TR-youtube1-training_data_yeni.tar.bz2
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bb4c1575cd24a526edccb8d6f3969318d299801235947529f2dce9b9b40f863
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size 67200835
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