A method for filtering bioacoustic transients by spectrogram image convolution

Author

Mellinger, David K. ; Clark, Christopher W.

Author_Institution

Bioacoust. Res. Program, Cornell Univ., Ithaca, NY, USA

fYear

1993

fDate

18-21 Oct 1993

Abstract

A method is presented for detecting bioacoustic transients. The desired transient-an animal call-is modeled as a sequence of frequency sweeps. Sweeps are detected by convolving a spectrogram of the signal with a kernel designed for the call of interest; convolution output is high when the call of interest is present and low other times. The method is tested on a set of bowhead whale (Balaena mysticetus) calls recorded in a noisy Arctic environment. The method detects bowhead calls well, performing better than a matched filter and a hidden Markov model on the task. Strengths and weaknesses of the method are discussed

Keywords

acoustic signal processing; aquaculture; bioacoustics; biological techniques and instruments; hidden Markov models; matched filters; oceanographic techniques; pattern recognition; underwater sound; Arctic Ocean; Balaena mysticetus; animal; animal call; bioacoustic transient; bowhead whale; detection; filtering; frequency sweep; hidden Markov model; kernel; marine biology; matched filter; measurement technique; method; ocean sea; spectrogram image convolution; underwater sound; voice; Animals; Biomedical acoustics; Convolution; Filtering; Frequency; Kernel; Signal design; Spectrogram; Testing; Whales;

fLanguage

English

Publisher

ieee

Conference_Titel

OCEANS '93. Engineering in Harmony with Ocean. Proceedings

Conference_Location

Victoria, BC

Print_ISBN

0-7803-1385-2

Type

conf

DOI

10.1109/OCEANS.1993.326171

Filename

326171