Design considerations in an automatic classification system for bird vocalisations using the Two-dimensional Geometric Distance and cluster analysis

Michihiro Jinnai, Neil J. Boucher, Jeremy Robertson, Sonia Kleindorfer

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We have been developing an automatic classification system for bird vocalisations. Many biologists have been using the early one-dimensional version of our system and we have been working on a two-dimensional method. The software extracts a spectrogram from the bird vocalisation using the LPC spectrum analysis and classifies the images of spectrogram using a similarity scale and cluster analysis. We use the new similarity scale called the "Two-dimensional Geometric Distance" that has been developed by Jinnai and Boucher. In this paper, we introduce the principles of the Two-dimensional Geometric Distance, demonstrate the two-dimensional pattern matching software, and describe design considerations in a new automatic classification system for bird vocalisations. Testing has shown an order of magnitude improvement in accuracy over the one-dimensional method.

    Original languageEnglish
    Title of host publicationProceedings of 20th International Congress on Acoustics, ICA 2010
    Pages4102-4108
    Number of pages7
    Publication statusPublished - 1 Dec 2010
    Event20th International Congress on Acoustics 2010, ICA 2010 - Incorporating the 2010 Annual Conference of the Australian Acoustical Society - Sydney, NSW, Australia
    Duration: 23 Aug 201027 Aug 2010

    Conference

    Conference20th International Congress on Acoustics 2010, ICA 2010 - Incorporating the 2010 Annual Conference of the Australian Acoustical Society
    CountryAustralia
    CitySydney, NSW
    Period23/08/1027/08/10

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  • Cite this

    Jinnai, M., Boucher, N. J., Robertson, J., & Kleindorfer, S. (2010). Design considerations in an automatic classification system for bird vocalisations using the Two-dimensional Geometric Distance and cluster analysis. In Proceedings of 20th International Congress on Acoustics, ICA 2010 (pp. 4102-4108)