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Automatic classification of marine mammals with speaker classification methods
Kreimeyer, R.; Ludwig, S. (2016). Automatic classification of marine mammals with speaker classification methods, in: Popper, A.N. et al. (Ed.) The effects of noise on aquatic life II. Advances in Experimental Medicine and Biology, 875: pp. 573-581. hdl.handle.net/10.1007/978-1-4939-2981-8_69
In: Popper, A.N.; Hawkins, A. (Ed.) (2016). The effects of noise on aquatic life II. Advances in Experimental Medicine and Biology, 875. Springer Science+Business Media, Inc: New York. ISBN 978-1-4939-2980-1. xxx, 1292 pp., more
In: Advances in Experimental Medicine and Biology. Springer: Berlin. ISSN 0065-2598, more
Peer reviewed article  

Available in Authors 

Keywords
    Classification; Detection; Marine
Author keywords
    Passive acoustic monitoring; Marine mammal database

Authors  Top 
  • Kreimeyer, R.
  • Ludwig, S.

Abstract
    We present an automatic acoustic classifier for marine mammals based on human speaker classification methods as an element of a passive acoustic monitoring (PAM) tool. This work is part of the Protection of Marine Mammals (PoMM) project under the framework of the European Defense Agency (EDA) and joined by the Research Department for Underwater Acoustics and Geophysics (FWG), Bundeswehr Technical Centre (WTD 71) and Kiel University. The automatic classification should support sonar operators in the risk mitigation process before and during sonar exercises with a reliable automatic classification result.

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