Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

VOICOR: A Residual Iterative Voice Correction Framework for Monaural Speech Enhancement

Implementation of Deep Complex UNet Using PyTorch

Papez: Resource-Efficient Speech Separation with Auditory Working Memory (ICASSP 2023)

Implementing the paper -

Code for the paper: Separate but togerher: Unsupervised Federated Learning for Speech Enhancement from non-iid data

This is the repo of the manuscript "Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement", which was submitted to ICASSP2022.

Tensorflow 2 code for several U-Net variants to perform direct comparisons including base, attention, dense, ++, squeeze-excite, inception, residual, recurrent-residual

The official repo: "McNet: Fuse Multiple Cues for Multichannel Speech Enhancement", ICASSP 2023

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

Complex-valued Spatial Autoencoders for Multichannel Speech Enhancement

The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation

We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multi…

Implementation of the Wave-U-Net for audio source separation

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Production First and Production Ready End-to-End Speech Recognition Toolkit

An unofficial code reproduction of Channel Attention Dense U-Net for Multichannel Speech Enhancement

Uformer: A Unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation

Code for paper "Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation"

WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-end Speech Enhancement

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

Dataset simulation for DPCCN.

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

A neural network consist of cnn and lstm for speech enhancement

Jun and Huck's PyTorch-Tensor-Train Network Toolbox