郝翔
A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement
A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch
Wave-U-Net-for-Speech-Enhancement
Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
IRM-based-Speech-Enhancement-using-LSTM
Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM
SpEx
Implementation of "SpEx: Multi-Scale Time Domain Speaker Extraction Network".
Build-SE-Dataset
Build speech enhancement dataset.
SNR-Based-Progressive-Learning-of-Deep-Neural-Network-for-Speech-Enhancement
Implementation of the paper "SNR-Based Progressive Learning of Deep Neural Network for Speech Enhancement."
UNetGAN-Demo
[INTERSPEECH 2019] Waiting Update! This project is a demonstration of the paper UNetGAN: A Robust Speech Enhancement Approach in Time Domain for Extremely Low Signal-to-noise Ratio Condition.
llm-tse
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction (LLM-TSE)
spiking-fullsubnet
Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.