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[to #42322933] feat: omit pipeline name in test
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9662192
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@@ -31,7 +31,7 @@ class SpeechSignalProcessTest(unittest.TestCase):
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def setUp(self) -> None:
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pass
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_aec(self):
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# Download audio files
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download(NEAREND_MIC_URL, NEAREND_MIC_FILE)
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@@ -41,10 +41,7 @@ class SpeechSignalProcessTest(unittest.TestCase):
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'nearend_mic': NEAREND_MIC_FILE,
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'farend_speech': FAREND_SPEECH_FILE
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}
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aec = pipeline(
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Tasks.acoustic_echo_cancellation,
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model=model_id,
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pipeline_name=Pipelines.speech_dfsmn_aec_psm_16k)
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aec = pipeline(Tasks.acoustic_echo_cancellation, model=model_id)
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output_path = os.path.abspath('output.wav')
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aec(input, output_path=output_path)
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print(f'Processed audio saved to {output_path}')
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@@ -87,15 +84,12 @@ class SpeechSignalProcessTest(unittest.TestCase):
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aec(inputs, output_path=output_path)
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print(f'Processed audio saved to {output_path}')
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@unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
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@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
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def test_ans(self):
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# Download audio files
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download(NOISE_SPEECH_URL, NOISE_SPEECH_FILE)
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model_id = 'damo/speech_frcrn_ans_cirm_16k'
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ans = pipeline(
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Tasks.acoustic_noise_suppression,
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model=model_id,
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pipeline_name=Pipelines.speech_frcrn_ans_cirm_16k)
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ans = pipeline(Tasks.acoustic_noise_suppression, model=model_id)
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output_path = os.path.abspath('output.wav')
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ans(NOISE_SPEECH_FILE, output_path=output_path)
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print(f'Processed audio saved to {output_path}')
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