Robust automatic detector and feature extractor for dolphin whistles

Guy Shkury, Joel Bud, Yotam Zuriel, Aviad Scheinin, Roee Diamant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


A key in dolphin's conservation efforts is understanding their distribution and habitat preference. A common method for mapping dolphin's presence is the detection of their vocalizations. In this paper, we propose a novel detection technique for dolphin's whistles, referred to as ECV (Entropy, Correlation, and Viterbi algorithm). ECV is a robust detector of low complexity that automatically detects dolphin's whistles and extracts their spectral features, using a single receiver with only a few system parameters. The method employs a chain of decisions based on spectral entropy and time-domain correlation followed by constrained Viterbi algorithm to extract the whistles' features. Simulation results as well as performance over real recordings show a good trade-off between detection and false alarm, that compares well with the widely used PAMguard system.

Original languageEnglish
Title of host publicationOCEANS 2019 - Marseille, OCEANS Marseille 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114507
StatePublished - Jun 2019
Event2019 OCEANS - Marseille, OCEANS Marseille 2019 - Marseille, France
Duration: 17 Jun 201920 Jun 2019

Publication series

NameOCEANS 2019 - Marseille, OCEANS Marseille 2019


Conference2019 OCEANS - Marseille, OCEANS Marseille 2019

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

  • Oceanography
  • Automotive Engineering
  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Instrumentation


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