d8ab8131e19498c2b9bed8d218e4e46eedc7cf21,librosa/tf_agc.py,,tf_agc,#,106
Before Change
f2a = melfb(sample_rate, len(frame), num_frequency_bands, mel_filter_width)
f2a = f2a[:,:(round(len(frame)/2) + 1)]
n = f2a.shape[0]
// initialze the state vector
state = numpy.zeros( (n, 1) )
fbg = numpy.zeros( (n, 1) )
After Change
//% invert back to waveform
//y = istft(D./E);
y = scipy.ifft(D/E)
pass
pass
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: librosa/librosa
Commit Name: d8ab8131e19498c2b9bed8d218e4e46eedc7cf21
Time: 2012-10-20
Author: brm2132@columbia.edu
File Name: librosa/tf_agc.py
Class Name:
Method Name: tf_agc
Project Name: librosa/librosa
Commit Name: 320cbfd379a8e8de6ff49eeba35ca16750e80d38
Time: 2015-08-25
Author: brian.mcfee@nyu.edu
File Name: librosa/core/audio.py
Class Name:
Method Name: autocorrelate
Project Name: librosa/librosa
Commit Name: 7bca836f56bcb10aaca45ded2088cad722a3416b
Time: 2013-03-09
Author: brm2132@columbia.edu
File Name: librosa/__init__.py
Class Name:
Method Name: istft