Audio processing by using pytorch 1D convolution network (based on nnAudio).
Gammatone Spectrogram and SpecAugmentation are now available on GPU.
This code has been merged pull request to https://github.com/KinWaiCheuk/nnAudio.
$ pip install -i https://test.pypi.org/simple/ nnAudio2
Numpy 1.14.5
Scipy 1.2.0
PyTorch 1.1.0
Python >= 3.6
librosa = 0.7.0 (Theortically nnAudio depends on librosa. But we only need to use a single function mel from librosa.filters. To save users troubles from installing librosa for this single function, I just copy the chunks of functions corresponding to mel in my code so that nnAudio runs without the need to install librosa)
Gammatone Spectrogram is now available in nnAudio2, and other details can be found in https://github.com/KinWaiCheuk/nnAudio.
In addition, more audio augmentation methods are available in nnAudio2, according to https://github.com/qiuqiangkong/torchlibrosa.
from nnAudio2 import Spectrogram
Spectrogram.STFT(n_fft=2048, freq_bins=None, hop_length=512, window='hann', freq_scale='no', center=True, pad_mode='reflect', fmin=50,fmax=6000, sr=22050, trainable=False)Spectrogram.MelSpectrogram(sr=22050, n_fft=2048, n_mels=128, hop_length=512, window='hann', center=True, pad_mode='reflect', htk=False, fmin=0.0, fmax=None, norm=1, trainable_mel=False, trainable_STFT=False)Spectrogram.CQT(sr=22050, hop_length=512, fmin=220, fmax=None, n_bins=84, bins_per_octave=12, norm=1, window='hann', center=True, pad_mode='reflect')Spectrogram.Gammatonegram(sr=44100, n_fft=2048, n_bins=64, hop_length=512, window='hann', center=True, pad_mode='reflect', htk=False, fmin=50.0, fmax=None, norm=1, trainable_bins=False, trainable_STFT=False)