ec25db143c1f7b60e4c1e3646027b15ae3d11d5c,librosa/feature.py,,melspectrogram,#,327
Before Change
// Compute the STFT
specgram = librosa.stft(y, n_fft = n_fft,
hann_w = n_fft,
hop_length = hop_length)
// Build a Mel filter
mel_basis = melfb(sr, n_fft, **kwargs)
After Change
// Compute the STFT
powspec = np.abs(librosa.stft(y,
n_fft = n_fft,
hann_w = n_fft,
hop_length = hop_length))**2
// Build a Mel filter
mel_basis = melfb(sr, n_fft, **kwargs)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: librosa/librosa
Commit Name: ec25db143c1f7b60e4c1e3646027b15ae3d11d5c
Time: 2013-04-01
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: melspectrogram
Project Name: librosa/librosa
Commit Name: 25a81835de9b06fa609304d793112f17be0f27bb
Time: 2014-01-02
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: logfsgram
Project Name: librosa/librosa
Commit Name: b7c2f6e9ccd65a53d8ae9aa0d3ee287ce9c93019
Time: 2014-02-07
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: logfsgram