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.
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.
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|Item Type:||Journal Article|
|Keywords:||environmental acoustic analysis, automated animal call recognition, sensor networks|
|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:||Past > Schools > Computer Science|
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:||17 Jul 2012 09:22|
|Last Modified:||19 Jul 2012 04:18|
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