Audio processing by using pytorch 1D convolution network

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.

Constant-Q harmonic coefficients (CQHCs), a timbre feature designed for music signals.

Find gravitational wave signals from binary black hole collisions.

Fast constant-Q transform feature, c++ implement

Music Xtraction with Nonstationary Gabor Transforms and Convolutional Denoising Autoencoders

Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.