Rongjiehuang/ProDiff
ProDiff is a PyTorch implementation of a conditional diffusion model for high-quality text-to-speech synthesis.
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ProDiff is a progressive fast diffusion model for high-quality text-to-speech synthesis. It uses a conditional diffusion probabilistic model to generate high-fidelity speech from text input. The approach aims to accelerate the typically slow diffusion sampling process to enable industrial deployment. The repository includes PyTorch implementations, pretrained models, and tutorials for speech diffusion models.
Frequently asked
- What is Rongjiehuang/ProDiff?
- ProDiff is a PyTorch implementation of a conditional diffusion model for high-quality text-to-speech synthesis.
- Is ProDiff open source?
- Yes — Rongjiehuang/ProDiff is open source, released under the MIT license.
- What language is ProDiff written in?
- Rongjiehuang/ProDiff is primarily written in Python.
- How popular is ProDiff?
- Rongjiehuang/ProDiff has 432 stars on GitHub.
- Where can I find ProDiff?
- Rongjiehuang/ProDiff is on GitHub at https://github.com/Rongjiehuang/ProDiff.