🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型，适用于英语、普通话/中文、日语、韩语、俄语和藏语（当前已测试）。

Include Basis-MelGAN, MelGAN, HifiGAN and Multiband-HifiGAN, maybe NHV in the future.

Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊

MelGAN implementation with Multi-Band and Full Band supports...

Ultrafast GAN based Vocoder for Text to Speech

Unofficial Pytorch Lightning Implementation of "Real-time Speech Frequency Bandwidth Extension"

Voice Conversion pipeline consisting of GE2E speaker encoder, AutoVC conversion model and MelGAN vocoder.

zero-shot realtime TTS system, fully offline, free and open source

MelGAN Multi GPU Implementation.

MelGAN with catalyst framework

Catalan Text to Speech

🐸💬 Coqui TTS Double Decoder Consistency samples

Cloned from descriptinc/melgan-neurips (pytorch).