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jtkim-kaist / VAD

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
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Exception while executing vad_test.py. #15

Open krishnamohan191 opened 5 years ago

krishnamohan191 commented 5 years ago

Traceback (most recent call last): File "/usr/lib/pycharm-community/helpers/pydev/pydevd.py", line 1596, in globals = debugger.run(setup['file'], None, None, is_module) File "/usr/lib/pycharm-community/helpers/pydev/pydevd.py", line 974, in run pydev_imports.execfile(file, globals, locals) # execute the script File "/usr/lib/pycharm-community/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/kbarakam/Desktop/VAD/VAD/lib/python/VAD_test.py", line 62, in pred, label = graph_test.do_test(graph_list[-1], data_dir, norm_dir, data_len, is_default, mode) File "/home/kbarakam/Desktop/VAD/VAD/lib/python/graph_test.py", line 89, in do_test valid_inputs, valid_labels = valid_data_set.next_batch(valid_batch_size) File "/home/kbarakam/Desktop/VAD/VAD/lib/python/data_reader_bDNN_v2.py", line 94, in next_batch self._input_spec_list[self._num_file]), batch_size, self._w) IndexError: list index out of range

---> There is no txt file in input_dir, so when 0th index was accessed, Exception occured. self._input_spec_list = sorted(glob.glob(input_dir+'/*.txt'))

def next_batch(self, batch_size):
    if self._start_idx == self._w:
        self._inputs = self._padding(
            self._read_input(self._input_file_list[self._num_file],
                             self._input_spec_list[self._num_file]), batch_size, self._w)

1) Can you upload the text file in input_dir? 2) Also, can you give more info regarding data_len = int(arg) which is passed as a parameter to graph_test.do_test()? 3) Do you have comparison results of this VAD algorithm with webrtc VAD? If so, can you post it here

jtkim-kaist commented 5 years ago

I'm very sorry for late answer.

  1. audio_dir = './data/example/clean_speech.wav' # directory for specific audio file

  2. the length of your audio data i.e. length(audio) in matlab notation.

  3. Unfortunately there is no comparison.

jiashihuigithub commented 4 years ago

i met the same issue with you, i haven't the *.txt file, please tell me how to solve it?