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Acoustic component detection for automatic species recognition in environmental monitoring

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. (In Press)

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Abstract

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.

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ID Code: 47618
Item Type: Conference Paper
Keywords: species recognition, acoustic events, Acoustic component
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > Information Systems
Copyright Owner: Copyright 2012 IEEE
Copyright Statement: 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.
Deposited On: 13 Dec 2011 08:43
Last Modified: 13 Dec 2011 10:58

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