import unittest from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks from modelscope.utils.logger import get_logger logger = get_logger() class TestConformerInferencePipelines(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_aishell1(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_conformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_aishell2(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) class TestData2vecInferencePipelines(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_transformer(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch') rec_result = inference_pipeline( audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "每一天都要快乐喔" def test_paraformer(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_data2vec_pretrain-paraformer-zh-cn-aishell2-16k') rec_result = inference_pipeline( audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "每一天都要快乐喔" class TestMfccaInferencePipelines(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_alimeeting(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950', model_revision='v3.0.0') rec_result = inference_pipeline( audio_in='https://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') logger.info("asr inference result: {0}".format(rec_result)) class TestParaformerInferencePipelines(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_paraformer_large_contextual_common(self): param_dict = dict() param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt" inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404', param_dict=param_dict) rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_hotword.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "国务院发展研究中心市场经济研究所副所长邓郁松认为" def test_paraformer_large_aishell1(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell1-vocab8404-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型" def test_paraformer_large_aishell2(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-aishell2-vocab8404-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型" def test_paraformer_large_common(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型" def test_paraformer_large_online_common(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online', model_revision='v1.0.6', update_model=False, mode="paraformer_fake_streaming" ) rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型" def test_paraformer_online_common(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer_asr_nat-zh-cn-16k-common-vocab8404-online', model_revision='v1.0.6', update_model=False, mode="paraformer_fake_streaming" ) rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) assert rec_result["text"] == "欢迎大家来体验达摩院推出的语音识别模型" def test_paraformer_tiny_commandword(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer-tiny-commandword_asr_nat-zh-cn-16k-vocab544-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh_command.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_paraformer_8k(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_8K.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_paraformer_aishell1(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_paraformer_aishell2(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) class TestParaformerBertInferencePipelines(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_aishell1(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell1-vocab4234-pytorch') rec_result = inference_pipeline( audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_aishell2(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_paraformerbert_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch') rec_result = inference_pipeline( audio_in='https://modelscope.oss-cn-beijing.aliyuncs.com/test/audios/asr_example.wav') logger.info("asr inference result: {0}".format(rec_result)) class TestUniasrInferencePipelines(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_uniasr_2pass_cantonese_chs_16k_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_cantonese-CHS.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_cantonese_chs_16k_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-cantonese-CHS-16k-common-vocab1468-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_cantonese-CHS.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_cn_dialect_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_cn_dialect_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-cn-dialect-16k-vocab8358-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_de_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_de.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_de_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-de-16k-common-vocab3690-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_de.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_en_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_en_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-en-16k-common-vocab1080-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_en.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_es_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_es.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_es_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-es-16k-common-vocab3445-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_es.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_fa_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fa.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_fa_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fa.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_fr_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fr.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_fr_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-fr-16k-common-vocab3472-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_fr.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_id_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, 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', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_id_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, 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', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) 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)) def test_uniasr_2pass_pt_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_pt.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_pt_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_pt.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_ru_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ru.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_ru_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-ru-16k-common-vocab1664-tensorflow1-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_ru.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_vi_common_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-offline') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_vi.wav', param_dict={"decoding_model": "offline"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_vi_common_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online') rec_result = inference_pipeline( audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_vi.wav', param_dict={"decoding_model": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_zhcn_8k_common_vocab3445_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline') 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)) def test_uniasr_2pass_zhcn_8k_common_vocab3445_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online') 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": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_zhcn_8k_common_vocab8358_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab8358-tensorflow1-offline') 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)) def test_uniasr_2pass_zhcn_8k_common_vocab8358_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab8358-tensorflow1-online') 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": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) def test_uniasr_2pass_zhcn_16k_common_vocab8358_offline(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline') 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)) def test_uniasr_2pass_zhcn_16k_common_vocab8358_online(self): inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model='damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-online') 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": "normal"}) logger.info("asr inference result: {0}".format(rec_result)) if __name__ == '__main__': unittest.main()