Isolating biological acoustic transient signals

  • Authors:

  • B. A. Weisburn;S. G. Mitchell;C. W. Clark;T. W. Parks

  • Affiliations:

  • Electrical Engineering, Cornell University, Ithaca, NY;Electrical Engineering, Cornell University, Ithaca, NY;Bioacoustics Research Program, Cornell University, Ithaca, NY;Electrical Engineering, Cornell University, Ithaca, NY

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
  • Year:
  • 1993

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Abstract

We investigate two methods for screening data to locate specific biological acoustic transient signals. The first method is based on a continuous hidden Markov model and the second method is a matched filter. An experiment is presented which compares the performance of the two methods in isolating a single note from the song of a bowhead whale in the Arctic.