A Modified Peripheral Auditory Model for Vehicle Classification

摘要：

Peripheral auditory model is a promising method for target classification to extract feature from target acoustic signals.But the general cochlear filter bank is not appropriate for the vehicle acoustic signal because of the obvious difference between the vehicle signal and speech.In this paper,a new method to design the cochlear filter bank for vehicle classification was proposed on the principle of class separability of the patterns.On the basis of the modified peripheral auditory model,monaural model based cepstrum coefficient (MoMCC) was proposed as feature and applied to multi-class vehicle classification.Experimental results show that MoMCC improves both the classification rate and the robustness of the classifier,especially at low SNR.

作者: Guan Lu-yang Bao Ming Zhang Peng Li Xiao-dong

作者单位: Institute of Acoustics,Chinese Academy of Science,Beijing 100190,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）