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 TestConformerInferencePipelines(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_aishell1(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_aishell2(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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class TestData2vecInferencePipelines(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_transformer(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch')
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rec_result = inference_pipeline(
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audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k')
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rec_result = inference_pipeline(
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audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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class TestMfccaInferencePipelines(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_alimeeting(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
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model_revision='v3.0.0')
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rec_result = inference_pipeline(
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audio_in='16:32https://pre.modelscope.cn/api/v1/models/NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950/repo?Revision=master&FilePath=example/asr_example_mc.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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class TestParaformerInferencePipelines(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_paraformer_large_contextual_common(self):
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param_dict = dict()
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param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt"
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404',
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param_dict=param_dict)
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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_hotword.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_large_aishell1(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell1-vocab8404-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_large_aishell2(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell2-vocab8404-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_large_common(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_tiny_commandword(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch')
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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_zh_command.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_8k(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1')
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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_8K.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_aishell1(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_paraformer_aishell2(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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class TestParaformerBertInferencePipelines(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_aishell1(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch')
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rec_result = inference_pipeline(
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audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_aishell2(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch')
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rec_result = inference_pipeline(
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audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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class TestUniasrInferencePipelines(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_uniasr_2pass_cantonese_chs_16k_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online')
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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_cantonese-CHS.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_cantonese_chs_16k_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online')
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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_cantonese-CHS.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_cn_dialect_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-offline')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_cn_dialect_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-online')
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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_zh.wav')
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_de_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-offline')
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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_de.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_de_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-online')
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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_de.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_en_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-offline')
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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_en.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_en_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online')
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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_en.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_es_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-offline')
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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_es.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_es_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-online')
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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_es.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_fa_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-offline')
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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_fa.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_fa_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online')
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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_fa.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_fr_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-offline')
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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_fr.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_fr_common_online(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-online')
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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_fr.wav',
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param_dict={"decoding_model": "normal"})
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logger.info("asr inference result: {0}".format(rec_result))
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def test_uniasr_2pass_id_common_offline(self):
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inference_pipeline = pipeline(
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task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_id.wav',
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param_dict={"decoding_model": "offline"})
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logger.info("asr inference result: {0}".format(rec_result))
|
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def test_uniasr_2pass_id_common_online(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
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model='damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_id.wav',
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param_dict={"decoding_model": "normal"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
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def test_uniasr_2pass_ja_common_offline(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
|
model='damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ja.wav',
|
param_dict={"decoding_model": "offline"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
|
def test_uniasr_2pass_ja_common_online(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
|
model='damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ja.wav',
|
param_dict={"decoding_model": "normal"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
|
def test_uniasr_2pass_ko_common_offline(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
|
model='damo/speech_UniASR_asr_2pass-ko-16k-common-vocab6400-tensorflow1-offline')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ko.wav',
|
param_dict={"decoding_model": "offline"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
|
def test_uniasr_2pass_ko_common_online(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
|
model='damo/speech_UniASR_asr_2pass-ko-16k-common-vocab6400-tensorflow1-online')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ko.wav',
|
param_dict={"decoding_model": "normal"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
|
def test_uniasr_2pass_minnan_common_offline(self):
|
inference_pipeline = pipeline(
|
task=Tasks.auto_speech_recognition,
|
model='damo/speech_UniASR_asr_2pass-minnan-16k-common-vocab3825')
|
rec_result = inference_pipeline(
|
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav',
|
param_dict={"decoding_model": "offline"})
|
logger.info("asr inference result: {0}".format(rec_result))
|
|
|
if __name__ == '__main__':
|
unittest.main()
|
