A toolbox for animal call recognition

Towsey, Michael W., Planitz, Birgit, Nantes, Alfredo, Wimmer, Jason, & Roe, Paul (2012) A toolbox for animal call recognition. Bioacoustics : The International Journal of Animal Sound and its Recording, 21(2), pp. 107-125.

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Monitoring the natural environment is increasingly important as habit degradation and climate change reduce theworld’s biodiversity.We have developed software tools and applications to assist ecologists with the collection and analysis of acoustic data at large spatial and temporal scales.One of our key objectives is automated animal call recognition, and our approach has three novel attributes.

First, we work with raw environmental audio, contaminated by noise and artefacts and containing calls that vary greatly in volume depending on the animal’s proximity to the microphone.

Second, initial experimentation suggested that no single recognizer could dealwith the enormous variety of calls. Therefore, we developed a toolbox of generic recognizers to extract invariant features for each call type. Third, many species are cryptic and offer little data with which to train a recognizer.

Many popular machine learning methods require large volumes of training and validation data and considerable time and expertise to prepare. Consequently we adopt bootstrap techniques that can be initiated with little data and refined subsequently. In this paper, we describe our recognition tools and present results for real ecological problems.

Impact and interest:

40 citations in Scopus
32 citations in Web of Science®
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ID Code: 51616
Item Type: Journal Article
Refereed: Yes
Keywords: environmental acoustic analysis, automated animal call recognition, sensor networks
DOI: 10.1080/09524622.2011.648753
ISSN: 2165-0586
Subjects: Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > ECOLOGY (060200) > Terrestrial Ecology (060208)
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: Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Taylor & Francis
Copyright Statement: This is a preprint of an article submitted for consideration in the Bioacoustics © 2012 copyright Taylor & Francis; Bioacoustics is available online at: www.tandfonline.com
Deposited On: 16 Jul 2012 23:22
Last Modified: 23 Jun 2017 08:26

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