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, ...
😝 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 lan...
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
#计算机科学#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, aim...
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
#计算机科学#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 ultimat...
An implementation of Microsoft's "AdaSpeech: Adaptive Text to Speech for Custom Voice"
Multi-Speaker Pytorch FastSpeech2: Fast and High-Quality End-to-End Text to Speech ✊
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
Refactored version of https://github.com/ming024/FastSpeech2
A Tensorflow Implementation of the FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
This is the experimental description of MnTTS2.