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modelscope/tests/pipelines/test_key_word_spotting_farfield.py

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import os.path
import unittest
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.test_utils import test_level
TEST_SPEECH_FILE = 'data/test/audios/3ch_nihaomiya.wav'
TEST_SPEECH_URL = 'https://modelscope.cn/api/v1/models/damo/' \
'speech_dfsmn_kws_char_farfield_16k_nihaomiya/repo' \
'?Revision=master&FilePath=examples/3ch_nihaomiya.wav'
class KWSFarfieldTest(unittest.TestCase):
def setUp(self) -> None:
self.model_id = 'damo/speech_dfsmn_kws_char_farfield_16k_nihaomiya'
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_normal(self):
kws = pipeline(Tasks.keyword_spotting, model=self.model_id)
inputs = {'input_file': os.path.join(os.getcwd(), TEST_SPEECH_FILE)}
result = kws(inputs)
self.assertEqual(len(result['kws_list']), 5)
print(result['kws_list'][-1])
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
def test_url(self):
kws = pipeline(Tasks.keyword_spotting, model=self.model_id)
result = kws(TEST_SPEECH_URL)
self.assertEqual(len(result['kws_list']), 5)
print(result['kws_list'][-1])
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_output(self):
kws = pipeline(Tasks.keyword_spotting, model=self.model_id)
inputs = {
'input_file': os.path.join(os.getcwd(), TEST_SPEECH_FILE),
'output_file': 'output.wav'
}
result = kws(inputs)
self.assertEqual(len(result['kws_list']), 5)
print(result['kws_list'][-1])
@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
def test_input_bytes(self):
with open(os.path.join(os.getcwd(), TEST_SPEECH_FILE), 'rb') as f:
data = f.read()
kws = pipeline(Tasks.keyword_spotting, model=self.model_id)
result = kws(data)
self.assertEqual(len(result['kws_list']), 5)
print(result['kws_list'][-1])
if __name__ == '__main__':
unittest.main()