Nils L. Westhausen's repositories
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.
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.
MatlabCodeAnalyzer
A Code Style Checker and Analyzer for Matlab Code
LibriMix
An open source dataset for source separation
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
speechmetrics
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR