waveglow
DiffSinger
waveglow | DiffSinger | |
---|---|---|
2 | 1 | |
2,222 | 223 | |
0.5% | - | |
0.0 | 10.0 | |
7 months ago | over 2 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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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.
DiffSinger
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[D] What is the best open source text to speech model?
DiffTTS (DiffSinger) submitted: Apr 3, 2021 paper: https://arxiv.org/pdf/2104.01409v1.pdf github: https://github.com/keonlee9420/DiffSinger
What are some alternatives?
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
radtts - Provides training, inference and voice conversion recipes for RADTTS and RADTTS++: Flow-based TTS models with Robust Alignment Learning, Diverse Synthesis, and Generative Modeling and Fine-Grained Control over of Low Dimensional (F0 and Energy) Speech Attributes.
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
Speech-Backbones - This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
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
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer