keonlee9420 / Comprehensive-Tacotron2

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Date Created 2021-07-24 (3 years ago)

Commits 5 (last one 2 years ago)

Stargazers 48 (0 this week)

Watchers 4 (0 this week)

Forks 15

License mit

Ranking

RepositoryStats indexes 598,732 repositories, of these keonlee9420/Comprehensive-Tacotron2 is ranked #482,503 (19th percentile) for total stargazers, and #378,444 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #93,016/120,199.

keonlee9420/Comprehensive-Tacotron2 is also tagged with popular topics, for these it's ranked: deep-learning (#7,224/8543), pytorch (#5,075/6032), tts (#396/486), text-to-speech (#344/412), speech-synthesis (#254/282)

Other Information

keonlee9420/Comprehensive-Tacotron2 has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 6 open issues and 4 closed issues.

There have been 3 releases, the latest one was published on 2022-02-20 (2 years ago) with the name v1.0.1.

All Topics

tts mel-gan pytorch hifi-gan tacotron tacotron2 efficiency neural-tts robustness comprehensive deep-learning multi-speaker autoregressive single-speaker text-to-speech reduction-factor speech-synthesis diagonal-guided-attention

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

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The only known language in this repository is Python

updated: 2024-12-12 @ 10:38pm, id: 388990172 / R_kgDOFy-E3A