ResGrad

A neural network for end-to-end speech denoising

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

Deep Recurrent Neural Networks for Source Separation

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++

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration

AdaSpeech: Adaptive Text to Speech for Custom Voice