title: Automatic Classification of Marine Mammals with Speaker Classification Methods.
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.
authors.affiliation: Digital Signal Processing and System Theory (DSS), Kiel University, Kaiserstrasse 2, Kiel, 24143, Germany. rok@tf.uni-kiel.de.
authors.forename: Roman
authors.initials: R
authors.lastname: Kreimeyer
authors.affiliation: Research Department for Underwater Acoustics and Geophysics (FWG), Bundeswehr Technical Centre (WTD 71), Eckernförde, 24340, Germany. stefan2ludwig@bundeswehr.org.
authors.forename: Stefan
authors.initials: S
authors.lastname: Ludwig
mesh_terms: D000465:Algorithms; D000818:Animals; D059001:Aquatic Organisms / Q000145:classification*; D019992:Databases as Topic; D006801:Humans; D008322:Mammals / Q000145:classification*; D014828:Vocalization, Animal
keywords: Classification; Detection; Marine mammal database; Passive acoustic monitoring