DigitalUmuganda / Kinyarwanda_YourTTS_v1

huggingface.co
Total runs: 43
24-hour runs: -1
7-day runs: -5
30-day runs: 7
Model's Last Updated: October 08 2024
text-to-speech

Introduction of Kinyarwanda_YourTTS_v1

Model Details of Kinyarwanda_YourTTS_v1

Model Description

This model is an end-to-end deep-learning-based Kinyarwanda Text-to-Speech (TTS). Due to its zero-shot learning capabilities, new voices can be introduced with 1min speech. The model was trained using the Coqui's TTS library, and the YourTTS[1] architecture. It was trained on 67 hours of Kinyarwanda bible data, for 100 epochs.

Data Sources

Usage

Install the Coqui's TTS library:

pip install TTS

Download the files from this repo, then run:

tts --text "text" --model_path best_model.pth --encoder_path SE_checkpoint.pth.tar --encoder_config_path config_se.json --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

Runs of DigitalUmuganda Kinyarwanda_YourTTS_v1 on huggingface.co

43
Total runs
-1
24-hour runs
-1
3-day runs
-5
7-day runs
7
30-day runs

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Kinyarwanda_YourTTS_v1 huggingface.co

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Kinyarwanda_YourTTS_v1 install

Kinyarwanda_YourTTS_v1 is an open source model from GitHub that offers a free installation service, and any user can find Kinyarwanda_YourTTS_v1 on GitHub to install. At the same time, huggingface.co provides the effect of Kinyarwanda_YourTTS_v1 install, users can directly use Kinyarwanda_YourTTS_v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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