Robust Speech Endpoint Detection in Aircraft Cockpit Voice Background

摘要：

This paper addresses the problem of robust speech endpoint detection in aircraft cockpit voice background.The proposed method described in this paper is based on a statistical model approach.Based on the voice background characteristics analysis,the complex Laplacian distribution model that directly aim at noisy speech is established;then the likelihood ratio test (LRT) based on binary hypothesis test is carried out;the decision rule of conventional maximum a posterior incorporating the inter-frame correlation lead to two separate thresholds,speech endpoint detection decision is finally made depend on the decision of previous frame and the observed spectrum.Experimental results show that the proposed method outperforms the typical method in robustness under the aircraft cockpit voice background.

作者: Lei Ming Li Guo Li Xue-ren

作者单位: Institute of Engineering,Air Force Engineering University Xian 710038,P.R.China Scientific Research Department,Air Force Engineering University Xian 710051,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）