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

Sandsten, Maria LU ; Tarka, Maja LU ; Caissy-Martineau, Jessica; Hansson, Bengt LU and Hasselquist, Dennis LU (2011) 19th European Signal Processing Conference, EUSIPCO 2011 In European Signal Processing Conference 2011. p.966-970
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
European Signal Processing Conference
volume
2011
pages
5 pages
publisher
European Association for Signal Processing (EURASIP)
conference name
19th European Signal Processing Conference, EUSIPCO 2011
external identifiers
  • scopus:84863743980
ISSN
2219-5491
language
English
LU publication?
yes
id
d9e2f018-bd60-4a65-b4af-ec66c7fc1b54 (old id 2225102)
alternative location
http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569422961.pdf
date added to LUP
2011-12-22 20:28:54
date last changed
2017-03-19 03:49:05
@inproceedings{d9e2f018-bd60-4a65-b4af-ec66c7fc1b54,
  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.},
  author       = {Sandsten, Maria and Tarka, Maja and Caissy-Martineau, Jessica and Hansson, Bengt and Hasselquist, Dennis},
  booktitle    = {European Signal Processing Conference},
  issn         = {2219-5491},
  language     = {eng},
  pages        = {966--970},
  publisher    = {European Association for Signal Processing (EURASIP)},
  title        = {A SVD-based classification of bird singing in different time-frequency domains using multitapers},
  volume       = {2011},
  year         = {2011},
}