Create high-quality speech audio from text using a machine learning model designed for efficient sound generation.
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Free · no card · unsubscribe anytimePyTorch Implementation of FastDiff (IJCAI'22)
FastDiff has 423 stars on GitHub. It has been forked 59 times. FastDiff is written mainly in Python. It has been in active development since 2022. Its main topics are ijcai2022, neural-vocoder, speech-synthesis, text-to-speech.
PyTorch Implementation of FastDiff (IJCAI'22)
FastDiff is an open-source project.
Yes. FastDiff is free and open source — you can use, modify and self-host it.
FastDiff is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.