Question

我很难在这里运行这段example code来将音频信号转换为stfts。我正在使用label_wave.py并编辑 “运行图”功能。

def run_graph(wav_data, labels, input_layer_name, output_layer_name,
              num_top_predictions):
  """Runs the audio data through the graph and prints predictions."""
  data = np.fromstring(wav_data, dtype='int16')[-16000:]
  # Normalize the data
  data = data * 1.0 / (1 << 15)   # Range [-1 1]
  data = tf.reshape(data, (1, 16000))
  # tf.cast(data, tf.float32)
  stfts = tf.contrib.signal.stft(data, frame_length=1024, frame_step=256,fft_length=1024)

错误

Traceback (most recent call last):
  File "mfcc_label_wav.py", line 149, in <module>
    tf.app.run(main=main, argv=[sys.argv[0]] + unparsed)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 126, in run
    _sys.exit(main(argv))
  File "mfcc_label_wav.py", line 121, in main
    FLAGS.output_name, FLAGS.how_many_labels)
  File "mfcc_label_wav.py", line 115, in label_wav
    run_graph(wav_data, labels_list, input_name, output_name, how_many_labels)
  File "mfcc_label_wav.py", line 71, in run_graph
    fft_length=1024)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/signal/python/ops/spectral_ops.py", line 91, in stft
    return spectral_ops.rfft(framed_signals, [fft_length])
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/spectral_ops.py", line 130, in _rfft
    input_tensor = _ops.convert_to_tensor(input_tensor, _dtypes.float32)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 950, in convert_to_tensor
    as_ref=False)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1040, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 883, in _TensorTensorConversionFunction
    (dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype float32 for Tensor with dtype float64: 'Tensor("stft/mul:0", shape=(1, 59, 1024), dtype=float64)'

Answer 1

执行tf.cast（data，tf.float32）无法正常工作。因此，我先将numpy数组从float64转换为float32，然后将数据重塑。

  data = np.fromstring(wav_data, dtype='int16')[-16000:]
  # Normalize the data
  data = data * 1.0 / (1 << 15)   # Range [-1 1]
  data = np.float32(data)
  data = tf.reshape(data, (1, 16000))
  # tf.cast(data, tf.float32)
  stfts = tf.contrib.signal.stft(data, frame_length=1024, 
                                 frame_step=256,fft_length=1024)

计算张量流音频识别中的stft（短时傅立叶变换）

1 个答案: