wavenet_vocoder

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用文章上提到的预训练模型，.pth 文件和一个Tacotron 生成的 .npy 文件。 执行命令 ：python synthesis.py ./checkpoint_biaobei-36Khz/checkpoint_biaobei-36Khz.pth ./out --conditional=mel-prediction-step-100000.npy Traceback (most recent call last): File "synthesis.py", line 212, in args = docopt(doc) File "/home/xxx/lib/python3.6/site-packages/docopt-0.6.2-py3.6.egg/docopt.py", line 558, in docopt File "/home/xxx/anaconda3/lib/python3.6/site-packages/docopt-0.6.2-py3.6.egg/docopt.py", line 466, in printable_usage File "/home/xxx/anaconda3/lib/python3.6/re.py", line 212, in split return _compile(pattern, flags).split(string, maxsplit) TypeError: expected string or bytes-like object xxx@deepnet3:~/work/Tacotron2/wavenet_vocoder-mandarin-biaobei$ 出现如上错误，请帮忙看一下是什么原因，谢谢！