bfc15526354399bdd615f06cd5db7efd911e6eea,librosa/feature.py,,rms,#,326

Before Change

  """
  N,K = np.shape(S)

  rms = np.sqrt(np.sum(S*S,axis = 0)/N)
  return rms


@cache

After Change

    // If we don"t have a spectrogram, build one
    if S is None:
        // By default, use a magnitude spectrogram
        S = librosa.stft(y, n_fft=n_fft, hop_length=hop_length)

    return np.sqrt(np.mean(np.abs(S)**2, axis=0))


@cache
def line_features(S, order=1, sr=22050):

Instances