breizhn

complementary-filterbank

Function to implement a power complementary filter bank. The filter bank is based on the paper: "Complementary N-Band IIR Filterbank Based on 2-Band Complementary Filters" written by Alexis Favrot and Christof Faller (2010)

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

DNS-Challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

DTLN-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

matlab-maxfilt-minfilt-in-mex

MatlabCodeAnalyzer

A Code Style Checker and Analyzer for Matlab Code

new_wav

Implementation of a wavread and wavwrite with audioread and audiowrite to replace the old MATLAB functions, which were removed in MATLAB R2015b.

sms_wsj

SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition

tPLCnet

This repository contains the trained models and some audio samples for the tPLCnet.

breizhn/DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

breizhn/DTLN-aec

This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.

breizhn/tPLCnet

This repository contains the trained models and some audio samples for the tPLCnet.

breizhn/DNS-Challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

breizhn/complementary-filterbank

Function to implement a power complementary filter bank. The filter bank is based on the paper: "Complementary N-Band IIR Filterbank Based on 2-Band Complementary Filters" written by Alexis Favrot and Christof Faller (2010)

breizhn/denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

breizhn/new_wav

Implementation of a wavread and wavwrite with audioread and audiowrite to replace the old MATLAB functions, which were removed in MATLAB R2015b.

breizhn/sms_wsj

SMS-WSJ: Spatialized Multi-Speaker Wall Street Journal database for multi-channel source separation and recognition

breizhn/matlab-maxfilt-minfilt-in-mex

breizhn/MatlabCodeAnalyzer

A Code Style Checker and Analyzer for Matlab Code

breizhn/LibriMix

An open source dataset for source separation

breizhn/releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

breizhn/sound-separation

breizhn/SparseLibriMix

breizhn/speechmetrics

A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR