A Method for Tracing Dolphin Whistles

Author

Mallawaarachchi, Asitha ; Ong, S.H. ; Chitre, Mandar ; Taylor, Elizabeth

Author_Institution

Nat. Univ. of Singapore, Singapore

fYear

2007

fDate

16-19 May 2007

Firstpage

1

Lastpage

5

Abstract

Underwater acoustic recordings containing dolphin vocalizations are often analyzed in time-frequency domain using spectrograms. Spectrogram feature extraction techniques are widely adopted in whistle classification studies because they provide a visual representation of the whistle´s frequency variation over time. However due to the low SNR of recordings, harmonics and frequency spread, most researchers use time consuming manual methods to trace whistles. The work presented in this paper attempts to automate this process.

Keywords

feature extraction; geophysical signal processing; oceanography; signal classification; underwater sound; dolphin vocalizations; dolphin whistles tracing; signal-to-noise ratio; spectrogram feature extraction techniques; time-frequency domain; underwater acoustic recordings; visual representation; whistle classification studies; Acoustic noise; Dolphins; Feature extraction; Laboratories; Maximum likelihood estimation; Power harmonic filters; Pulse modulation; Spectrogram; Time frequency analysis; Underwater acoustics;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS 2006 - Asia Pacific

Conference_Location

Singapore

Print_ISBN

978-1-4244-0138-3

Electronic_ISBN

978-1-4244-0138-3

Type

conf

DOI

10.1109/OCEANSAP.2006.4393966

Filename

4393966