radtts
waveglow
radtts | waveglow | |
---|---|---|
1 | 2 | |
270 | 2,222 | |
0.0% | 0.5% | |
0.0 | 0.0 | |
about 1 year ago | 7 months ago | |
Roff | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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radtts
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[D] What is the best open source text to speech model?
RadTTS submitted: Aug 18, 2021 (NVIDIA page, not Arxiv) paper: https://openreview.net/pdf?id=0NQwnnwAORi github: https://github.com/NVIDIA/radtts
waveglow
- [D] What is the best open source text to speech model?
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XQC Falls for dono thinkng its Adept
I had tried tacotron2 + waveglow and it's quite easy to get very good results. The hardest part is collecting clean data.
What are some alternatives?
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
STYLER - Official repository of STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech, INTERSPEECH 2021
Speech-Backbones - This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
DiffSinger - PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"