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Muyan-TTS is a trainable TTS model designed for podcast applications within a $50,000 budget, which is pre-trained on over 100,000 hours of podcast audio data, enabling zero-shot TTS synthesis with high-quality voice generation. Furthermore, Muyan-TTS supports speaker adaptation with dozens of minutes of target speech, making it highly customizable for individual voices.
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## Install
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Finally, it will automatically execute the ```llamafactory-cli train``` command to start training. You can adjust training settings using ```training/sft.yaml```. By default, the trained weights will be saved to ```pretrained_models/Muyan-TTS-new-SFT```.
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You can directly deploy your trained model using the API tool above. During inference, you need to specify the ```model_type``` to be ```sft``` and replace the ```ref_wav_path``` and ```prompt text``` with a sample of the speaker's voice you trained on.
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---
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tags:
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- text-to-speech
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---
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Muyan-TTS is a trainable TTS model designed for podcast applications within a $50,000 budget, which is pre-trained on over 100,000 hours of podcast audio data, enabling zero-shot TTS synthesis with high-quality voice generation. Furthermore, Muyan-TTS supports speaker adaptation with dozens of minutes of target speech, making it highly customizable for individual voices.
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## Install
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```
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Finally, it will automatically execute the ```llamafactory-cli train``` command to start training. You can adjust training settings using ```training/sft.yaml```. By default, the trained weights will be saved to ```pretrained_models/Muyan-TTS-new-SFT```.
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You can directly deploy your trained model using the API tool above. During inference, you need to specify the ```model_type``` to be ```sft``` and replace the ```ref_wav_path``` and ```prompt text``` with a sample of the speaker's voice you trained on.
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