Muyan-TTS

What it does

Muyan-TTS is an open-source TTS for podcasts, trained on 100k+ hours of audio. Offers high-quality zero-shot voice generation & speaker adaptation with minutes of speech.

Contribute to MYZY-AI/Muyan-TTS development by creating an account on GitHub.

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. Framework of Muyan-TTS. Left is an LLM that models the parallel corpus of text (in blue) and audio (in green) tokens. Right is a SoVITS model that decodes the generated audio tokens, as well as phonemes and speaker embeddings, into the audio waveform. Data processing pipeline. The final dataset comprises over 100,000 hours…from github.com

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