Computes the spectral entropy

def stSpectralEntropy(X, n_short_blocks=10):
    """Computes the spectral entropy"""
    L = len(X)                         # number of frame samples
    Eol = numpy.sum(X ** 2)            # total spectral energy

    sub_win_len = int(numpy.floor(L / n_short_blocks))   # length of sub-frame
    if L != sub_win_len * n_short_blocks:
        X = X[0:sub_win_len * n_short_blocks]

    sub_wins = X.reshape(sub_win_len, n_short_blocks, order='F').copy()  # define sub-frames (using matrix reshape)
    s = numpy.sum(sub_wins ** 2, axis=0) / (Eol + eps)                      # compute spectral sub-energies
    En = -numpy.sum(s*numpy.log2(s + eps))                                    # compute spectral entropy

    return En