Kinyarwanda YourTTS

🚀 Kinyarwanda Text-to-Speech Model

This is an end-to-end deep-learning-based Kinyarwanda Text-to-Speech (TTS) model, capable of introducing new voices with just 1 minute of speech due to its zero-shot learning capabilities.

🚀 Quick Start

To start using the Kinyarwanda Text-to-Speech model, follow these steps:

1. Install the Coqui's TTS library:

pip install git+https://github.com/coqui-ai/TTS@0910cb76bcd85df56bf43654bb31427647cdfd0d#egg=TTS

2. Download the files from this repo, then run:

tts --text "text" --model_path 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

Note that 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, and the d_vectors is computed as their average.

✨ Features

• End-to-End TTS: This is an end-to-end deep-learning-based Kinyarwanda Text-to-Speech model.
• Zero-Shot Learning: Thanks to its zero-shot learning capabilities, new voices can be introduced with just 1 minute of speech.

📦 Installation

Install the Coqui's TTS library using the following command:

pip install git+https://github.com/coqui-ai/TTS@0910cb76bcd85df56bf43654bb31427647cdfd0d#egg=TTS

💻 Usage Examples

Basic Usage

# Install the library
pip install git+https://github.com/coqui-ai/TTS@0910cb76bcd85df56bf43654bb31427647cdfd0d#egg=TTS

# Run the TTS command
tts --text "text" --model_path 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

📚 Documentation

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

• Audio data: [www.faithcomesbyhearing.com, version -> Common Language Version audio Old Testament]
• Text data: [www.bible.com, version -> Bibiliya Ijambo ry'imana(BIR)(only the Old Testament was used)]

🔧 Technical Details

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.

📄 License

No license information provided in the original document.

📄 References

[1] YourTTS paper