A SVD-based classification of bird singing in different time-frequency domains using multitapers

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

In this paper, a novel method for analysing a bird’s song is presented. The song of male great reed warblers is used for developing and testing the methods. A robust method for detecting syllables is proposed and a classification of those syllables as compared to reference syllables is done. The extraction of classification features are based on the use of singular vectors in different time-frequency domains, such as the ambiguity and the doppler domains, in addition to the usual sonogram. The analysis is also made using multitaper analysis where the Welch method and the Thomson multi- tapers are compared to the more recently proposed locally stationary process multitapers.

Details

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics
Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
PublisherEuropean Association for Signal Processing (EURASIP)
Pages966-970
Number of pages5
Volume2011
Publication statusPublished - 2011
Publication categoryResearch
Peer-reviewedYes
Event19th European Signal Processing Conference, EUSIPCO 2011 - Barcelona, Barcelona, Spain
Duration: 2011 Aug 292011 Sep 2
Conference number: 19

Publication series

Name
Volume2011
ISSN (Print)2219-5491

Conference

Conference19th European Signal Processing Conference, EUSIPCO 2011
CountrySpain
CityBarcelona
Period2011/08/292011/09/02