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update unittest

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This commit is contained in:
speech_asr 2023-03-10 18:40:24 +08:00
parent a8f803fc00
commit 28eed32588
2 changed files with 35 additions and 3 deletions
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6
tests/test_asr_inference_pipeline.py
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@ -65,7 +65,7 @@ class TestMfccaInferencePipelines(unittest.TestCase):
model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950', model='NPU-ASLP/speech_mfcca_asr-zh-cn-16k-alimeeting-vocab4950',
model_revision='v3.0.0') model_revision='v3.0.0')
rec_result = inference_pipeline( rec_result = inference_pipeline(
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') 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)) logger.info("asr inference result: {0}".format(rec_result))
@ -451,8 +451,8 @@ class TestUniasrInferencePipelines(unittest.TestCase):
def test_uniasr_2pass_zhcn_16k_common_vocab8358_offline(self): def test_uniasr_2pass_zhcn_16k_common_vocab8358_offline(self):
inference_pipeline = pipeline( inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition, task=Tasks.,
model='damo/speech_UniASR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline') model='damo/speech_UniASauto_speech_recognitionR_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline')
rec_result = inference_pipeline( rec_result = inference_pipeline(
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',
param_dict={"decoding_model": "offline"}) param_dict={"decoding_model": "offline"})

32
tests/test_asr_vad_punc_inference_pipeline.py Normal file
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@ -0,0 +1,32 @@
import unittest
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from modelscope.utils.logger import get_logger
logger = get_logger()
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_inference_pipeline(self):
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
model_revision="v1.2.1",
vad_model='damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',
vad_model_revision="v1.1.8",
punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
punc_model_revision="v1.1.6",
ngpu=1,
)
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))
if __name__ == '__main__':
unittest.main()