Decision support for the efficient annotation of bioacoustic events


Autoria(s): Truskinger, Anthony; Towsey, Michael; Roe, Paul
Data(s)

01/01/2015

Resumo

Acoustic sensors allow scientists to scale environmental monitoring over large spatiotemporal scales. The faunal vocalisations captured by these sensors can answer ecological questions, however, identifying these vocalisations within recorded audio is difficult: automatic recognition is currently intractable and manual recognition is slow and error prone. In this paper, a semi-automated approach to call recognition is presented. An automated decision support tool is tested that assists users in the manual annotation process. The respective strengths of human and computer analysis are used to complement one another. The tool recommends the species of an unknown vocalisation and thereby minimises the need for the memorization of a large corpus of vocalisations. In the case of a folksonomic tagging system, recommending species tags also minimises the proliferation of redundant tag categories. We describe two algorithms: (1) a “naïve” decision support tool (16%–64% sensitivity) with efficiency of O(n) but which becomes unscalable as more data is added and (2) a scalable alternative with 48% sensitivity and an efficiency ofO(log n). The improved algorithm was also tested in a HTML-based annotation prototype. The result of this work is a decision support tool for annotating faunal acoustic events that may be utilised by other bioacoustics projects.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/79385/

Publicador

Elsevier

Relação

http://eprints.qut.edu.au/79385/1/SuggestionTool-AfterAcceptance.pdf

DOI:10.1016/j.ecoinf.2014.10.001

Truskinger, Anthony, Towsey, Michael, & Roe, Paul (2015) Decision support for the efficient annotation of bioacoustic events. Ecological Informatics, 25, pp. 14-21.

Direitos

Copyright 2014 Elsevier B.V.

NOTICE: this is the author’s version of a work that was accepted for publication in Ecological Informatics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ecological Informatics, Volume 25, January 2015, DOI: 10.1016/j.ecoinf.2014.10.001

Fonte

School of Electrical Engineering & Computer Science; Faculty of Science and Technology; Science & Engineering Faculty

Palavras-Chave #089999 Information and Computing Sciences not elsewhere classified #Similarity search #Bioacoustics #Annotations #Semi-automated #Decision support #Faunal vocalisation
Tipo

Journal Article