Environmental Sound Classification Using Log-Gabor Filter

被引：0

作者：

Souli, Sameh ^{[1
]}

Lachiri, Zied ^{[1
]}

机构：

[1] ENIT, Dept Genie Elect, Signal Image & Pattern Recognit Res Unit, Tunis 1002, Tunisia

来源：

PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年

关键词：

Spectrogram; Environmental sound; SVM; Mutual information; log-Gabor filter;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents novel approaches for efficient feature extraction using environmental sound magnitude spectrogram. We propose approaches based on the visual domain, the spectrogram is passed through a bank of 12 log-Gabor filters, followed by an averaged operation and passed through an optimal feature selection procedure based on mutual information. The proposed methods were tested on a database of 10 sound classes. The evaluation system is realized by using the multiclass support vector machines (SVM's) that gave rise to a recognition rate of the order 89.62 %.

引用

页码：144 / 147

页数：4

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