keonlee9420 / Comprehensive-E2E-TTS

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

Date Created 2022-03-30 (2 years ago)

Commits 4 (last one 2 years ago)

Stargazers 141 (0 this week)

Watchers 11 (0 this week)

Forks 19

License unknown

Ranking

RepositoryStats indexes 533,807 repositories, of these keonlee9420/Comprehensive-E2E-TTS is ranked #214,952 (60th percentile) for total stargazers, and #185,169 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #38,005/103,260.

keonlee9420/Comprehensive-E2E-TTS is also tagged with popular topics, for these it's ranked: deep-learning (#4,044/7824), pytorch (#2,825/5583), tts (#216/420), text-to-speech (#187/364), speech-synthesis (#154/268)

Other Information

keonlee9420/Comprehensive-E2E-TTS has Github issues enabled, there are 4 open issues and 1 closed issue.

All Topics

tts jets sota non-ar pytorch hifi-gan end-to-end neural-tts fastspeech2 text-to-wav ultimate-tts unsupervised deep-learning multi-speaker single-speaker text-to-speech speech-synthesis non-autoregressive

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Recent Commit History

4 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-29 @ 11:28am, id: 475779002 / R_kgDOHFvPug