A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
Generate human-like speech from text using advanced AI models on your own system.
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Free · no card · unsubscribe anytimeA Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
Comprehensive-Transformer-TTS has 328 stars on GitHub. It has been forked 43 times. Comprehensive-Transformer-TTS is written mainly in Python. It has been in active development since 2021. Comprehensive-Transformer-TTS is available under the MIT license. Its main topics are comprehensive, deep-learning, fastspeech, fastspeech2.
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
Comprehensive-Transformer-TTS is an open-source project. It is released under the MIT license.
Yes. Comprehensive-Transformer-TTS is free and open source — you can use, modify and self-host it.
Comprehensive-Transformer-TTS is available under the MIT license.
Comprehensive-Transformer-TTS is written mainly in Python.
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