From b0f4910de6dc91c13828026fb5bdd4f15d8636f3 Mon Sep 17 00:00:00 2001 From: "shixian.shi" Date: Tue, 27 Jun 2023 20:11:30 +0800 Subject: [PATCH] update --- .../demo.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/demo.py b/egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/demo.py index bec6f052e..e5e909770 100644 --- a/egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/demo.py +++ b/egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/demo.py @@ -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",