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matlab_htk

MATLAB functions that interface with the HTK Speech Recognition Toolkit (http://htk.eng.cam.ac.uk/) for training HMMs, GMMs and simple speech recognizers.

matlab_signal_processing

matlabcode

matlabcodeanalyzer

A Code Style Checker and Analyzer for Matlab Code

matlabtoolbox

General purpose Matlab toolbox

matlabworkspace

some algorithm about machine learning ,neural network or Microphone Array

mcse

Multi-channel speech enhancement system (MVDR beamformer + several postfilters)

micarraybeamforming

Microphone Array Beamforming Toolbox

microphone-array-postfilter

microphone-array-simulation-environment

This code can simulate the MATLAB environment of uniform linear microphone array. It can define room size, reverberation degree, the number and location of microphones, and reduce the dependence on hardware experimental environment to a certain extent.

model_search

mtimesx

Matlab/Octave Fast Matrix Multiply with Multi-Dimensional Support

multi-channel_audio_simulator

multichannelnmf

MATLAB script of Multichannel Nonnegative Matrix Factorization

mushra-maxmsp

A Max/MSP patcher for MUSHRA listening tests.

music-demixing-challenge-starter-kit

Starter kit for getting started in the Music Demixing Challenge.

music_source_separator

Music source separation tools with pytorch. Train, separate, evaluate on custom datasets with TF and time domain models.

mvae

Official PyTorch implementation of MVAE for audio source separation

mwf-artifact-removal

MWF-based EEG artifact removal in MATLAB

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

neural-mask-estimation

neural-upsampling-artifacts-audio

Upsampling Artifacts in Neural Audio Synthesis – https://arxiv.org/abs/2010.14356

nkf-aec

Acoustic Echo Cancellation with Nerual Kalman Filtering

nmflibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0

noise2noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". 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.

noisereduce

Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)

norbert

Painless Wiener filters for audio separation

nyu-dlsp21

NYU Deep Learning Spring 2021

odas

ODAS: Open embeddeD Audition System

omlsa-imcra

Python implementation of OMLSA+IMCRA algorithm for speech enhancement.