86 lines
2.5 KiB
Python
86 lines
2.5 KiB
Python
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import unittest
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from modelscope.pipelines import pipeline
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from modelscope.utils.constant import Tasks
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from modelscope.utils.logger import get_logger
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logger = get_logger()
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class TestFSMNInferencePipelines(unittest.TestCase):
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def test_funasr_path(self):
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import funasr
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import os
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logger.info("run_dir:{0} ; funasr_path: {1}".format(os.getcwd(), funasr.__file__))
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def test_8k(self):
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inference_pipeline = pipeline(
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task=Tasks.voice_activity_detection,
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model="damo/speech_fsmn_vad_zh-cn-8k-common",
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)
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rec_result = inference_pipeline(
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audio_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example_8k.wav"
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)
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logger.info("vad inference result: {0}".format(rec_result))
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assert rec_result["text"] == [
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[0, 1960],
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[2870, 6730],
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[7960, 10180],
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[12140, 14830],
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[15740, 19400],
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[20220, 24230],
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[25540, 27290],
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[30070, 30970],
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[32070, 34280],
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[35990, 37050],
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[39400, 41020],
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[41810, 47320],
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[48120, 52150],
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[53560, 58310],
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[59290, 62210],
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[63110, 66420],
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[67300, 68280],
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[69670, 71770],
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[73100, 75550],
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[76850, 78500],
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[79380, 83280],
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[85000, 92320],
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[93560, 94110],
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[94990, 95620],
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[96940, 97590],
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[98400, 100530],
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[101600, 104890],
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[108780, 110900],
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[112020, 113460],
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[114210, 115030],
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]
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def test_16k(self):
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inference_pipeline = pipeline(
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task=Tasks.voice_activity_detection,
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model="damo/speech_fsmn_vad_zh-cn-16k-common-pytorch",
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)
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rec_result = inference_pipeline(
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audio_in="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/vad_example.wav"
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)
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logger.info("vad inference result: {0}".format(rec_result))
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assert rec_result["text"] == [
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[70, 2340],
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[2620, 6200],
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[6480, 23670],
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[23950, 26250],
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[26780, 28990],
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[29950, 31430],
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[31750, 37600],
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[38210, 46900],
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[47310, 49630],
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[49910, 56460],
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[56740, 59540],
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[59820, 70450],
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]
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if __name__ == "__main__":
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unittest.main()
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