信息与电子工程2011，Vol.9Issue(6)：744-748,5.
小波MFCC和HMM在低空声目标识别中的应用
Application of wavelet MFCC and HMM in low altitude acoustic target recognition
摘要
Abstract
Although Traditional Mel Frequency Cepstrum Coefficient(MFCC) can simulate human auditory characteristics, it can not reflect the dynamic characteristics of low altitude target acoustic signal satisfactorily because of its time-varying and non-stationary properties. Wavelet transform which can exactly reflect instantaneous change of non-steady signal can be used to replace the FFT transform in extracting MFCC parameter process. And then the improved MFCC, combined with Hidden Markov Model(HMM) which can behave better in representing the time-varying signal, is used to recognize the low altitude acoustic target. Experiments with actually gathered helicopter acoustic signal and non-helicopter acoustic signal are performed, and better recognition effect is obtained. The validity and feasibility of the proposed detecting and recognizing algorithm are verified by the experimental comparison results.关键词
低空声目标/Mel倒谱系数/小波交换/隐马尔可夫模型Key words
low altitude acoustic target/Mel Frequency Cepstrum Coefficient/wavelet transform/Hidden Markov Model分类
信息技术与安全科学引用本文复制引用
张玉军,杨巨龙,孙大飞,高勇..小波MFCC和HMM在低空声目标识别中的应用[J].信息与电子工程,2011,9(6):744-748,5.基金项目
总装预研基金资助项目(JG2007056) （JG2007056）
