melgan

🐸💬 - 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...

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

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.

MelGAN Multi GPU Implementation.

MelGAN with catalyst framework

Catalan Text to Speech

StyleGAN2 + MelGAN Audio Loop Generation

Unofficial implementation of Multi-band MelGAN

🔊 Convert text into MP3 audio files quickly, enhancing content, accessibility, and automation with clear, spoken audio.