audio_tools.py 文件源码

def slinterp(X, factor, copy=True):
    """
    Slow-ish linear interpolation of a 1D numpy array. There must be some
    better function to do this in numpy.

    Parameters
    ----------
    X : ndarray
        1D input array to interpolate

    factor : int
        Integer factor to interpolate by

    Return
    ------
    X_r : ndarray
    """
    sz = np.product(X.shape)
    X = np.array(X, copy=copy)
    X_s = np.hstack((X[1:], [0]))
    X_r = np.zeros((factor, sz))
    for i in range(factor):
        X_r[i, :] = (factor - i) / float(factor) * X + (i / float(factor)) * X_s
    return X_r.T.ravel()[:(sz - 1) * factor + 1]