Similarity-based birdcall retrieval from environmental audio
Dong, Xueyan, Towsey, Michael, Truskinger, Anthony, Cottman-Fields, Mark, Zhang, Jinglan, & Roe, Paul (2015) Similarity-based birdcall retrieval from environmental audio. Ecological Informatics, 29(Part 1), pp. 66-76.
Automated digital recordings are useful for large-scale temporal and spatial environmental monitoring. An important research effort has been the automated classification of calling bird species. In this paper we examine a related task, retrieval of birdcalls from a database of audio recordings, similar to a user supplied query call. Such a retrieval task can sometimes be more useful than an automated classifier. We compare three approaches to similarity-based birdcall retrieval using spectral ridge features and two kinds of gradient features, structure tensor and the histogram of oriented gradients. The retrieval accuracy of our spectral ridge method is 94% compared to 82% for the structure tensor method and 90% for the histogram of gradients method. Additionally, this approach potentially offers a more compact representation and is more computationally efficient.
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|Item Type:||Journal Article|
|Keywords:||birdcall retrieval, environmental audio, ridge detection, spectral peak tracks|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
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 > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 Elsevier B.V.|
|Deposited On:||14 Aug 2015 05:32|
|Last Modified:||16 Aug 2015 22:56|
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