Acoustic component detection for automatic species recognition in environmental monitoring
Data(s) |
2012
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Resumo |
Automatic species recognition plays an important role in assisting ecologists to monitor the environment. One critical issue in this research area is that software developers need prior knowledge of specific targets people are interested in to build templates for these targets. This paper proposes a novel approach for automatic species recognition based on generic knowledge about acoustic events to detect species. Acoustic component detection is the most critical and fundamental part of this proposed approach. This paper gives clear definitions of acoustic components and presents three clustering algorithms for detecting four acoustic components in sound recordings; whistles, clicks, slurs, and blocks. The experiment result demonstrates that these acoustic component recognisers have achieved high precision and recall rate. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/47618/2/47618.pdf http://www.issnip.org/~issnip2011/ Duan, Shufei, Towsey, Michael W., Zhang, Jinglan, Truskinger, Anthony Masters, Wimmer, Jason, & Roe, Paul (2012) Acoustic component detection for automatic species recognition in environmental monitoring. In 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing(ISSNIP 2011), 6 - 9 December 2011, Hilton Hotel, Adelaide, SA. |
Direitos |
Copyright 2012 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Fonte |
Computer Science; Faculty of Science and Technology; Information Systems |
Palavras-Chave | #080106 Image Processing #080109 Pattern Recognition and Data Mining #species recognition #acoustic events #Acoustic component |
Tipo |
Conference Paper |