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