testing.py 文件源码

def make_mean_mfcc_df(folder):
    norms = []
    for filename in os.listdir(folder):
        (rate, sig) = wav.read(filename)
        mfcc_feat = mfcc(sig, rate)
        mean_mfcc = np.mean(mfcc_feat, axis = 0)
        #mean_mfcc = np.reshape(mean_mfcc, (1,13))
        norms.append(mean_mfcc)
    flat = [a.ravel() for a in norms]
    stacked = np.vstack(flat)
    df = pd.DataFrame(stacked)
    return df