Speech-Backbones
STYLER
| Speech-Backbones | STYLER | |
|---|---|---|
| 1 | 3 | |
| 529 | 150 | |
| 2.5% | - | |
| 0.0 | 1.8 | |
| 8 months ago | over 2 years ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Speech-Backbones
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/
-
[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
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.
waveglow - A Flow-based Generative Network for Speech Synthesis
Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.
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
DiffSinger - PyTorch implementation of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (focused on DiffSpeech)
tacotron - A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
FastSpeech2 - An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"