A novel representation of bioacoustic events for content-based search in field audio data

Dong, Xueyan, Towsey, Michael W., Zhang, Jinglan, Banks, Jasmine, & Roe, Paul (2013) A novel representation of bioacoustic events for content-based search in field audio data. In Proceedings of 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE Xplore, Wrest Point Hotel, Hobart, TAS, pp. 1-6.

[img] Accepted Version (PDF 391kB)
Administrators only | Request a copy from author

View at publisher


Bioacoustic data can provide an important base for environmental monitoring. To explore a large amount of field recordings collected, an automated similarity search algorithm is presented in this paper. A region of an audio defined by frequency and time bounds is provided by a user; the content of the region is used to construct a query. In the retrieving process, our algorithm will automatically scan through recordings to search for similar regions. In detail, we present a feature extraction approach based on the visual content of vocalisations – in this case ridges, and develop a generic regional representation of vocalisations for indexing. Our feature extraction method works best for bird vocalisations showing ridge characteristics. The regional representation method allows the content of an arbitrary region of a continuous recording to be described in a compressed format.

Impact and interest:

2 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 63465
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: acoustic event, feature extraction, ridge detection, regional representation, similarity search
DOI: 10.1109/DICTA.2013.6691473
Subjects: 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
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > Science Research Centre
Copyright Owner: Copyright 2013 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Deposited On: 17 Oct 2013 23:50
Last Modified: 23 Jul 2014 10:45

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page