base_features.py 文件源码

def get_mfcc(x, sr, n_mfcc=20):
    """Compute MFCC features from raw audio, using librosa.
    Librosa must be installed.

    Args:
        x (1d-array) audio signal, mono
        sr (int): sample rate
        n_mfcc (int): number of coefficients to retain

    Returns:
        2d-array: MFCC features
    """
    mfcc_all = librosa.feature.mfcc(x, sr)
    n_coeff, n_frames = mfcc_all.shape
    t = librosa.frames_to_time(np.arange(n_frames), sr=sr, hop_length=512)

    return t, mfcc_all[:n_mfcc].T