Audio processing by using pytorch 1D convolution network
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Updated
Feb 13, 2024 - Python
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.
Music Xtraction with Nonstationary Gabor Transforms and Convolutional Denoising Autoencoders
Fast constant-Q transform feature, c++ implement
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.
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