def test_check_target_type():
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
td = DictionaryExtractor(join(TEXT_DIR, 'test_lexical_dictionary.txt'),
variables=['length', 'frequency'])
with pytest.raises(TypeError):
stim.extract([td])
def test_audio_stim(dummy_iter_extractor):
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
assert round(stim.duration) == 57
assert stim.sampling_rate == 11025
tl = stim.extract([dummy_iter_extractor])
assert isinstance(tl, Timeline)
def test_audio_stim(self):
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
self.assertEquals(round(stim.duration), 57)
self.assertEquals(stim.sampling_rate, 11025)
tl = stim.extract([self.dummy_iter_extractor])
assert isinstance(tl, Timeline)
def test_stft_extractor():
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
ext = STFTExtractor(frame_size=1., spectrogram=False,
bins=[(100, 300), (300, 3000), (3000, 20000)])
timeline = stim.extract([ext])
df = timeline.to_df('long')
assert df.shape == (1671, 4)
def test_stft_extractor(self):
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
ext = STFTExtractor(frame_size=1., spectrogram=False,
bins=[(100, 300), (300, 3000), (3000, 20000)])
timeline = stim.extract([ext])
df = timeline.to_df('long')
self.assertEquals(df.shape, (1671, 4))
def test_audio_stim(self):
audio_dir = join(_get_test_data_path(), 'audio')
stim = AudioStim(join(audio_dir, 'barber.wav'))
self.assertEquals(round(stim.duration), 57)
self.assertEquals(stim.sampling_rate, 11025)
stim.extract([self.dummy_iter_extractor])