48a579ae1638f5c60e62d8f5c3bad35e0dcef249,librosa/__init__.py,,istft,#Any#Any#Any#Any#,130

Before Change

        hop_length = int(n_fft / 2.0 )

    x_length    = n_fft + (n - 1) * hop_length
    x           = numpy.zeros(x_length)

    for b in xrange(0, hop_length * n, hop_length):
        ft              = d[:, b/hop_length].flatten()
        ft              = numpy.concatenate((ft.conj(), ft[-2:0:-1] ), 0)

After Change

    y           = numpy.zeros(n_fft + hop_length * (n_frames - 1))

    for i in xrange(n_frames):
        sample  = i * hop_length
        spec    = stft_matrix[:, i].flatten()
        spec    = numpy.concatenate((spec.conj(), spec[-2:0:-1] ), 0)

Instances