STYLER
waveglow
STYLER | waveglow | |
---|---|---|
3 | 2 | |
150 | 2,218 | |
- | 0.3% | |
1.8 | 0.0 | |
over 2 years ago | 7 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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STYLER
- [D] What is the best open source text to speech model?
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STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech
demo: https://keonlee9420.github.io/STYLER-Demo/
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[R] STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech
code: https://github.com/keonlee9420/STYLER
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?
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.
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)
Speech-Backbones - This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.
hifi-gan - HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
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"