base.py 文件源码

def mfcc(signal, samplerate, conf):
    '''
    Compute MFCC features from an audio signal.

    Args:
        signal: the audio signal from which to compute features. Should be an
            N*1 array
        samplerate: the samplerate of the signal we are working with.
        conf: feature configuration

    Returns:
        A numpy array of size (NUMFRAMES by numcep) containing features. Each
        row holds 1 feature vector, a numpy vector containing the signal
        log-energy
    '''

    feat, energy = fbank(signal, samplerate, conf)
    feat = numpy.log(feat)
    feat = dct(feat, type=2, axis=1, norm='ortho')[:, :int(conf['numcep'])]
    feat = lifter(feat, float(conf['ceplifter']))
    return feat, numpy.log(energy)