Xtts Ug Lang

--- language: - lg - ach - nyn - en - mas - sog tags: - text-to-speech - xtts - coqui - uganda license: other --- # XTTS Ugandan Languages (xtts-ug-lang) This model is a fine-tuned version of [Coqui's XTTS-v2](https://huggingface.co/coqui/XTTS-v2) designed to support multiple Ugandan languages. ## Supported Languages The model was trained with special language tokens natively injected into the vocabulary: - **Luganda** (`[lg]`) - **Acholi** (`[ach]`) - **Masaaba** (`[mas]`) - **Runyankore** (`[nyn]`) - **Soga** (`[sog]`) - **Ugandan English** (`[en-ug]`) ## Dataset Trained on the `reuben256/votex-v1` dataset comprising over 248 hours of high-quality speech data. ## Training Details - Fine-tuned using the XTTS GPT trainer. - The base model's embedding matrices were successfully patched and resized to support the new vocabulary IDs. ## Usage To use this with the standard Coqui `TTS` library, download the repository and load it locally. Make sure you use the patched `config.json` and `vocab.json` included in this repository. Because the underlying library has strict language validation, you should set `language="en"` in the API call but include your specific language token (e.g., `[lg]`) directly inside the text string. ### Python Example ```python from TTS.api import TTS # 1. Download the repo and set the paths to the local directory model_dir = "./xtts-ug-lang" config_path = f"{model_dir}/config.json" # 2. Initialize the TTS API tts = TTS( model_path=model_dir, config_path=config_path ) # 3. Generate Audio # Pass language="en" to bypass strict checks, but prepend the real language tag to the text. text_to_speak = "[lg] Ekiseera kino kyamagero." tts.tts_to_file( text=text_to_speak, speaker_wav="path/to/reference/speaker.wav", # Your reference audio for voice cloning language="en", file_path="output.wav" ) print("Audio generated successfully!") ```

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