Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

😝 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)

PAddle PARAllel text-to-speech toolKIT (supporting Tacotron2, Transformer TTS, FastSpeech2/FastPitch, SpeedySpeech, WaveFlow and Parallel WaveGAN)

Chinese Mandarin tts text-to-speech 中文 (普通话) 语音 合成 , by fastspeech 2 , implemented in pytorch, using waveglow as vocoder, with biaobei and aishell3 datasets

A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS

基于标贝数据继续训练，同时对原本的FastSpeech2模型做了改进，引入了韵律表征以及韵律预测模块，使中文发音更生动且富有节奏

PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech

Desktop application for neural speech synthesis written in C++

AdaSpeech: Adaptive Text to Speech for Custom Voice

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

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

An implementation of Microsoft's "AdaSpeech: Adaptive Text to Speech for Custom Voice"

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

The Implementation of FastSpeech2 Based on Pytorch.

Use FastSpeech2 and HiFi-GAN to easily perform end-to-end Korean speech synthesis.

Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

Clean and modernized implementation of FastSpeech2/LightSpeech using IPA

Refactored version of https://github.com/ming024/FastSpeech2

This is the experimental description of MnTTS2.