Instructions to use amrmantawi/bmo-paroli-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use amrmantawi/bmo-paroli-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
BMO Paroli TTS (ONNX)
Custom English text-to-speech model for the local-llm BMO assistant.
Files
| File | Description |
|---|---|
encoder.onnx |
Paroli encoder (phoneme โ latent) |
decoder.onnx |
Paroli decoder (latent โ audio) |
config.json |
Piper/Paroli config (phoneme map, inference settings) |
Usage
Designed for use with the Paroli TTS backend in local-llm. Requires espeak-ng phonemization (en-us voice).
Inference defaults from config.json:
- Sample rate: 22050 Hz
noise_scale: 0.667length_scale: 0.8noise_w: 0.8
License
MIT (adjust if your training data or base model requires a different license).
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