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update unittest

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speech_asr 2023-03-10 17:15:30 +08:00
parent 172310f3a3
commit 8552131d86
1 changed files with 26 additions and 0 deletions
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tests/test_asr_inference_pipeline.py
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@ -142,6 +142,7 @@ class TestParaformerInferencePipelines(unittest.TestCase):
audio_in='https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav') 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)) logger.info("asr inference result: {0}".format(rec_result))
class TestParaformerBertInferencePipelines(unittest.TestCase): class TestParaformerBertInferencePipelines(unittest.TestCase):
def test_funasr_path(self): def test_funasr_path(self):
import funasr import funasr
@ -165,5 +166,30 @@ class TestParaformerBertInferencePipelines(unittest.TestCase):
logger.info("asr inference result: {0}".format(rec_result)) 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))
if __name__ == '__main__': if __name__ == '__main__':
unittest.main() unittest.main()