STYLER
Speech-Backbones
| STYLER | Speech-Backbones | |
|---|---|---|
| 3 | 1 | |
| 150 | 523 | |
| - | 1.3% | |
| 1.8 | 0.0 | |
| over 2 years ago | 8 months ago | |
| Python | Jupyter Notebook | |
| MIT License | - |
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STYLER
- [D] What is the best open source text to speech model?
-
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
Speech-Backbones
What are some alternatives?
waveglow - A Flow-based Generative Network for Speech Synthesis
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.
Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.
flowtron - Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer
tacotron2 - Tacotron 2 - PyTorch implementation with faster-than-realtime inference
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
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"