Audio classification algorithm based on nonlinear characteristics analysis - 文章详情页

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EI Scopus

摘要：

In　this　paper,　an　audio　classification　algorithm　based　on　nonlinear　characteristics　analysis　is　proposed.　According　to　the　nonlinearity　of　audio　signals,　the　phase　space　reconstruction　technology　of　nonlinear　dynamics,　the　recurrence　plot　and　the　recurrence　quantification　analysis　are　introduced　to　audio　characteristics　analysis,　and　the　audio　signals　are　classified　into　four　types:　noise-like,　transient,　harmonic-like　and　mixed　signal.　Test　results　indicate　that　the　proposed　algorithm　has　good　classification　accuracy.

关键词：

Audio acoustics Nonlinear analysis Phase space methods

作者机构：

[ 1 ] [Zhang, Liyan]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Bao, Changchun]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Liu, Xin]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Zhang, Xingtao]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 5 ] [Bao, Feng]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 6 ] [Bu, Bing]Speech and Audio Signal Processing Laboratory, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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电子邮件地址：

zhangliyan1999@emails.bjut.edu.cn

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