On Feature Selection in Environmental Sound Recognition

被引：0

作者：

Mitrovic, Dalibor ^{[1
]}

Zeppelzauer, Matthias ^{[1
]}

Eidenberger, Horst ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Software Technol & Interact Syst, A-1040 Vienna, Austria

来源：

PROCEEDINGS ELMAR-2009 | 2009年

关键词：

Feature Selection; Statistical Data Analysis; Environtmental Sound Recognition;

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：

Given a broad set of content-based audio features, we employ principal component analysis for the composition of an optimal feature set for environmental sounds. We select features based on quantitative data analysis (factor analysis) and conduct retrieval experiments to evaluate the quality of the feature combinations. Retrieval results show that statistical data analysis gives useful hints for feature selection. The experiments show the importance of feature selection in environmental sound recognition.

引用

页码：201 / 204

页数：4

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