#133 · Primary category: Speech & Audio
hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Project last updated:07/27/24
GitHub Stars
2.4K
Forks
557
Contributors
2
License
MIT
Why we included this project
If you're building a text-to-speech system, the final step is usually converting a mel-spectrogram into actual audio. HiFi-GAN does that with a GAN that sounds natural and runs faster than older autoregressive vocoders. The repo ships pretrained models, so you can try it right away, and the small-footprint version is quick enough on CPU for many use cases. It's a solid open-source option to test before settling on a commercial vocoder.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
whisper.cpp
Port of OpenAI's Whisper model in C/C++
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
VibeVoice
Open-Source Frontier Voice AI
voicebox
The open-source AI voice studio. Clone, dictate, create.
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production