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GitHub / 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

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/keonlee9420%2FComprehensive-E2E-TTS

Stars: 136
Forks: 19
Open Issues: 4

License: None
Language: Python
Repo Size: 3.45 MB
Dependencies: 24

Created: about 2 years ago
Updated: 7 months ago
Last pushed: almost 2 years ago
Last synced: 7 months ago

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

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