Bing's repositories
Sound_Localization_Algorithms
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
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
awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
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
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.
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.
ml-audio-start
Suggestions for those interested in developing audio applications of machine learning
ML_modules
free modules for VCV Rack
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