NVIDIA/tacotron2
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Tacotron 2 - PyTorch implementation with faster-than-realtime inference
7 mentions on Hacker News by 7 people: 0 stories, 7 comments · first 2018-11-19 · latest 2024-05-02
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…There are better open source TTS models. E.g. check https://github.com/neonbjb/tortoise-tts or https://github.com/NVIDIA/tacotron2 . Or here for more: https://www.reddit.com/r/MachineLearning/comments/12kjof5/d_...
comment by albertzeyer · 2024-05-02 · in ESpeak-ng: speech synthesizer with more than one hundred languages and accents -
…[2] https://aka.ms/valle (demos from one) [3] https://www.youtube.com/watch?v=WtFNOSTTPYg [4] https://github.com/NVIDIA/tacotron2 (used to create audio for 3)
comment by CSSer · 2023-02-11 · in I had ChatGPT write a Decemberists song and recorded it -
…Another thing you can do nowadays is use off-the-shelf deep neural networks to do tts eg https://github.com/NVIDIA/tacotron2 https://github.com/mozilla/TTS https://github.com/CorentinJ/Real-Time-Voice-Cloning…
comment by pizza · 2021-09-25 · in Speech Synthesis on Linux (2020) -
https://github.com/NVIDIA/tacotron2 https://github.com/keithito/tacotron https://github.com/NVIDIA/WaveGlow
comment by mm983 · 2021-07-11 · in AI voice actors sound more human than ever–and are ready to hire -
There have been quite a few recent advances in open-source TTS, such as: https://github.com/NVIDIA/tacotron2 https://github.com/CorentinJ/Real-Time-Voice-Cloning https://github.com/mozilla/TTS I think a lot of the remaining gap is due to a…
comment by jonas21 · 2020-05-16 · in Emotionally Expressive Text to Speech -
…source projects: - https://github.com/mozilla/TTS - https://github.com/Rayhane-mamah/Tacotron-2 - https://github.com/NVIDIA/tacotron2 Commercial TTS projects: - http://deepzen.io/ - https://wellsaidlabs.com/ -…
comment by deepblue129 · 2019-05-16 · in RealTalk Speech Synthesis -
…[2] https://github.com/Rayhane-mamah/Tacotron-2 [3] https://github.com/NVIDIA/waveglow [4] https://github.com/NVIDIA/tacotron2
comment by kastnerkyle · 2018-11-19 · in Varying Speaking Styles with Neural Text-to-Speech