On Feature Selection in Environmental Sound Recognition

By Dalibor Mitrovic, Matthias Zeppelzauer, and Horst Eidenberger

Abstract

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.

Reference

D. Mitrovic, M. Zeppelzauer, H. Eidenberger: "On Feature Selection in Environmental Sound Recognition"; Talk: ELMAR 2009, Zadar, Kroatien; 09-28-2009 - 09-30-2009; in: "Proceedings ELMAR-2009", (2009), ISBN: 978-953-7044-10-7; 201 - 204.

BibTeX

@inproceedings{TUW-177614,     author = {Mitrovic, Dalibor and Zeppelzauer, Matthias and Eidenberger, Horst},     title = {On Feature Selection in Environmental Sound Recognition},     booktitle = {Proceedings ELMAR-2009},     year = {2009},     pages = {201--204},     url = {http://publik.tuwien.ac.at/files/PubDat_177614.pdf},     isbn = {978-953-7044-10-7},     note = {Vortrag: ELMAR 2009, Zadar, Kroatien; 2009-09-28 -- 2009-09-30} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.