metadata
language:
- rw
pipeline_tag: text-to-speech
tags:
- TTS
- Kinyarwanda
- Text to speech
license: cc-by-sa-4.0
Model Description
This model is an end-to-end deep-learning-based Kinyarwanda Text-to-Speech (TTS). The model was trained using the Coqui's TTS library, and the YourTTS[1] architecture.
Usage
Install the Coqui's TTS library:
pip install TTS
Download the files from this repo, then run:
tts --text "text" --model_path model.pth --config_path config.json --speakers_file_path speakers.pth --speaker_wav conditioning_audio.wav --out_path out.wav
Where the conditioning audio is a wav file(s) to condition a multi-speaker TTS model with a Speaker Encoder, you can give multiple file paths. The d_vectors is computed as their average.
References
[1] YourTTS paper
[2] Kinyarwanda TTS: Using a multi-speaker dataset to build a Kinyarwanda TTS model