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@@ -22,12 +22,12 @@ This model is an end-to-end deep-learning-based Kinyarwanda Text-to-Speech (TTS)
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  Install the Coqui's TTS library:
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  ```
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- pip install git+https://github.com/coqui-ai/TTS@0910cb76bcd85df56bf43654bb31427647cdfd0d#egg=TTS
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  ```
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  Download the files from this repo, then run:
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  ```
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- 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
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  ```
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  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.
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  # References
 
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  <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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  Install the Coqui's TTS library:
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  ```
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+ pip install TTS
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  ```
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  Download the files from this repo, then run:
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  ```
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+ 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
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  ```
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  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.
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  # References