@inproceedings{1cf136cb1dc14114b68be5c60e5876f2,
title = "Experimental study on dereverberation and noise reduction for distant speech recognition",
abstract = "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.",
keywords = "dereverberation, distant speech recognition, microphone array, noise reduction, objective measures",
author = "Fu, {Zhong Hua} and Lei Xie and Hang Lv",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014 ; Conference date: 12-09-2014 Through 14-09-2014",
year = "2014",
month = oct,
day = "24",
doi = "10.1109/ISCSLP.2014.6936702",
language = "英语",
series = "Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "393--397",
editor = "Minghui Dong and Jianhua Tao and Haizhou Li and Zheng, {Thomas Fang} and Yanfeng Lu",
booktitle = "Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, ISCSLP 2014",
}