bubing

doa-tools

A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

Sound_Localization_Algorithms

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

AEC3

AEC3 Extracted From WebRTC

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

audacity

Audio Editor

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

DeepXi

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

distant_speech_recognition

spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)

DynamicAudioNormalizer

Dynamic Audio Normalizer

ffmpeg-normalize

Audio Normalization Script for Python/ffmpeg

filtering

Utilities for resampling and filtering audio data

gcc-nmf

Real-time GCC-NMF Blind Speech Separation and Enhancement

gitignore

A collection of useful .gitignore templates

ILRMA

Copyright 2018 Daichi Kitamura. These programs are distributed only for academic research at universities and research institutions. It is not allowed to use or modify these programs for commercial or industrial purpose without our permission. When you use or modify these programs and write research articles, cite the following references: D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation unifying independent vector analysis and nonnegative matrix factorization," IEEE/ACM Trans. ASLP, vol. 24, no. 9, pp. 1626-1641, September 2016. D. Kitamura, N. Ono, H. Sawada, H. Kameoka, H. Saruwatari, "Determined blind source separation with independent low-rank matrix analysis," Audio Source Separation. Signals and Communication Technology., S. Makino, Ed. Springer, Cham, pp. 125-155, March 2018.

kiss-fft

A compact FFT library in C with an Android JNI wrapper

lcc

LCC (Localization Cue Correction) is a solution for spatialized audio through stereo speakers. LCC is a lightweight implementation of crosstalk cancellation so your left ear hears the left channel of audio, and your right ear hears the right channel of audio while ensuring unwanted audio signal coloration is mitigated.

lws

Fast spectrogram phase recovery using Local Weighted Sums (C/Python/Matlab)

ml-audio-start

Suggestions for those interested in developing audio applications of machine learning

ML_modules

free modules for VCV Rack

music_source_separation

musicdsp

Sphinx musicdsp

nara_wpe

Different implementations of "Weighted Prediction Error" for speech dereverberation

pb_bss

Collection of EM algorithms for blind source separation of audio signals

pyloudnorm

Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

source_separation

Deep learning based speech source separation using Pytorch

Speech-Separation-Paper-Tutorial

A must-read paper for speech separation based on neural networks

Speech-Subband-Coding

Subband filtering with ADPCM

speechbrain

A PyTorch-based Speech Toolkit

webrtc_AEC3