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shixian.shi 2023-06-27 20:11:30 +08:00
parent 6569b95025
commit b0f4910de6
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egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/demo.py
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@ -3,6 +3,10 @@ from modelscope.utils.constant import Tasks
param_dict = dict()
param_dict['hotword'] = "https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/hotword.txt"
param_dict['clas_scale'] = 1.00 # 1.50 # set it larger if you want high recall (sacrifice general accuracy)
# 13% relative recall raise over internal hotword test set (45%->51%)
# CER might raise when utterance contains no hotword
inference_pipeline = pipeline(
task=Tasks.auto_speech_recognition,
model="damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404",