从下面的代码中，我得到了形状为（20，1，12060）的“log_spectgrams”。我想把形状改为（20，60，201，1）。所以我这样写了代码。

log_specgrams = np.asarray(log_specgrams).reshape(len(log_specgrams), 60, 201, 1)

但我给出了一个错误：

Traceback (most recent call last):
  File "D:/for-test.py", line 26, in <module>
    features = extract_features(parent_dir,sub_dirs)
  File "D:/for-test.py", line 17, in extract_features
    log_specgrams = np.asarray(log_specgrams).reshape(len(log_specgrams), 60, 201, 1)
  File "C:\Users\CHS\Anaconda3\lib\site-packages\numpy\core\numeric.py", line 482, in asarray
    return array(a, dtype, copy=False, order=order)
ValueError: could not broadcast input array from shape (12060) into shape (1)
(1, 12060)

完整代码：

import glob
import os
import librosa
import numpy as np

def extract_features(parent_dir, sub_dirs, file_ext="*.wav"):
        log_specgrams = []
        for l, sub_dir in enumerate(sub_dirs):
                for fn in glob.glob(os.path.join(parent_dir, sub_dir, file_ext)):
                        X_in, sample_rate = librosa.load(fn)
                        melspec = librosa.feature.melspectrogram(y=X_in, sr=sample_rate, n_fft=1024, hop_length=441, n_mels=60)
                        logmel = librosa.logamplitude(melspec)
                        logmel = logmel.T.flatten()[:, np.newaxis].T
                        log_specgrams.append(logmel)

        print(np.shape(logmel))
        log_specgrams = np.asarray(log_specgrams).reshape(len(log_specgrams), 60, 201, 1)
        print(np.shape(log_specgrams))
        A = features

        return np.array(log_specgrams)

parent_dir = 'Sound-Data_small'
sub_dirs= ['fold1','fold2']
features = extract_features(parent_dir,sub_dirs)

我确实想将“log_specgrams”的形状（20，1，12060）更改为（20，60，201，1）。