Experimental study on dereverberation and noise reduction for distant speech recognition

Zhong Hua Fu, Lei Xie, Hang Lv

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Room reverberation and environment noise pose significant challenges for both speech enhancement and distant speech recognition (DSR). However, the rapid progresses achieved recently in the two fields are somehow ignored by each other. Thus it is important to examine the benefit of the state-of-the-art front-end speech enhancement can provide for a typical DSR system. In this paper, we employ a recently-reported state-of-the-art dereverberation and noise reduction approach for DSR. This method can be evolved to several famous enhancement methods by choosing different parameters. We examine the correlations between seven commonly-used objective measures for enhancement evaluation and the speech recognition error rate of a typical DSR system. We show that, besides the substantial effectiveness of the enhancement approach for DSR, the perceptual evaluation of speech quality (PESQ) has the highest correlation with the speech recognition error rate over other object measures.

源语言英语
主期刊名Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014
编辑Minghui Dong, Jianhua Tao, Haizhou Li, Thomas Fang Zheng, Yanfeng Lu
出版商Institute of Electrical and Electronics Engineers Inc.
393-397
页数5
ISBN(电子版)9781479942206
DOI
出版状态已出版 - 24 10月 2014
活动9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014 - Singapore, 新加坡
期限: 12 9月 201414 9月 2014

出版系列

姓名Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014

会议

会议9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014
国家/地区新加坡
Singapore
时期12/09/1414/09/14

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