Title :
A Method for Tracing Dolphin Whistles
Author :
Mallawaarachchi, Asitha ; Ong, S.H. ; Chitre, Mandar ; Taylor, Elizabeth
Author_Institution :
Nat. Univ. of Singapore, Singapore
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;
Conference_Titel :
OCEANS 2006 - Asia Pacific
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0138-3
Electronic_ISBN :
978-1-4244-0138-3
DOI :
10.1109/OCEANSAP.2006.4393966
