Mathematical Sciences

Lund University

Title A SVD-based classification of bird singing in different time-frequency domains using multitapers
Authors Maria Sandsten, Maja Tarka, Jessica Caissy-Martineau, Bengt Hansson, Dennis Hasselquist
Alternative Location
Publication European Signal Processing Conference
Year 2011
Volume 2011
Pages 966 - 970
Document type Conference paper
Conference name 19th European SIgnal Processing Conference (EUSIPCO-2011)
Conference Date 2011-08-29/2011-09-02
Conference Location Barcelona
Status Published
Quality controlled Yes
Language eng
Publisher European Association for Signal Processing (EURASIP)
Abstract English 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.
ISBN/ISSN/Other ISSN: 2219-5491 (online)