🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
-
Updated
May 22, 2024 - Python
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
一个使用C++编写的音频处理软件
Include Basis-MelGAN, MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.
Persian/Farsi text to speech(TTS) training using coqui tts
Ultrafast GAN based Vocoder for Text to Speech
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Speech synthesis (TTS) in low-resource languages by training from scratch with Fastpitch and fine-tuning with HifiGan
SA-toolkit: Speaker speech anonymization toolkit in python
RADTTS + HiFiGAN vocoder
🇺🇦 Ukrainian RAD-TTS++ models (decoder + models with 3 voices) and HiFiGAN model
homework for deep generation. Combine FastSpeech2 with different vocoders ⭐REFERENCE (modify origin repos): https://github.com/ming024/FastSpeech2 https://github.com/NVIDIA/waveglow https://github.com/mindslab-ai/univnet https://github.com/jik876/hifi-gan
Training and Tunning a Text to speech model with Nvidia NeMo and Weights and Biases
Add a description, image, and links to the hifigan topic page so that developers can more easily learn about it.
To associate your repository with the hifigan topic, visit your repo's landing page and select "manage topics."