9cadc1d3beaaa6bb03c4ab291f6483473624eae2,librosa/feature.py,,logfsgram,#,9

Before Change

        D = np.abs(D)**2
    else:
        // Convert to power
        D = np.abs(librosa.stft(y, n_fft=n_fft, hop_length=hop_length)) ** 2

    // Normalize, retain magnitude
    D = np.abs(D / D.max())

After Change

        del pitches

    else:
        D = librosa.stft(y, n_fft=n_fft, hop_length=hop_length)

    // Normalize, retain power
    D = np.abs(D / D.max())**2

    // Build the CQ basis
    cq_basis = librosa.filters.logfrequency(sr, n_fft=n_fft, **kwargs)
    

Instances