59 lines
2.1 KiB
Python
59 lines
2.1 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 TestTimestampPredictionPipelines(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_inference_pipeline(self):
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inference_pipeline = pipeline(
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task=Tasks.speech_timestamp,
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model="damo/speech_timestamp_prediction-v1-16k-offline",
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model_revision="v1.1.0",
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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/asr_example_timestamps.wav",
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text_in="一 个 东 太 平 洋 国 家 为 什 么 跑 到 西 太 平 洋 来 了 呢",
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)
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print(rec_result)
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logger.info("punctuation inference result: {0}".format(rec_result))
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assert rec_result == {
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"text": "<sil> 0.000 0.380;一 0.380 0.560;个 0.560 0.800;东 0.800 0.980;太 0.980 1.140;平 1.140 1.260;洋 1.260 1.440;国 1.440 1.680;家 1.680 1.920;<sil> 1.920 2.040;为 2.040 2.200;什 2.200 2.320;么 2.320 2.500;跑 2.500 2.680;到 2.680 2.860;西 2.860 3.040;太 3.040 3.200;平 3.200 3.380;洋 3.380 3.500;来 3.500 3.640;了 3.640 3.800;呢 3.800 4.150;<sil> 4.150 4.440;",
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"timestamp": [
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[380, 560],
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[560, 800],
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[800, 980],
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[980, 1140],
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[1140, 1260],
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[1260, 1440],
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[1440, 1680],
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[1680, 1920],
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[2040, 2200],
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[2200, 2320],
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[2320, 2500],
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[2500, 2680],
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[2680, 2860],
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[2860, 3040],
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[3040, 3200],
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[3200, 3380],
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[3380, 3500],
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[3500, 3640],
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[3640, 3800],
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[3800, 4150],
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],
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}
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if __name__ == "__main__":
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unittest.main()
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