title: A non-spectrogram-correlation method of automatically detecting minke whale boings.
abstract: This letter introduces an algorithm for automatic detection of minke whale boing sounds. This method searches for frequency features of boings without calculating the continuous spectrogram of the data, thereby reducing computational time. The detector has been tested on 8 h of acoustic data recorded at the Station ALOHA Cabled Observatory in March 2007. This dataset was previously analyzed using the cross-correlation detector of XBAT and was verified by a human listener, as reported in Oswald et al. [(2011). J. Acoust. Soc. Am. 129, 3353-3360]. A comparison of results indicates that the detector introduced here generates fewer false alarms, and it recognizes low-SNR calls that are missed by XBAT.
authors.affiliation: Marine Mammal Research Program, Hawaii Institute of Marine Biology, University of Hawaii, P.O. Box 1106, Kaneohe, Hawaii 96734, USA. ou@hawaii.edu
authors.forename: Hui
authors.initials: H
authors.lastname: Ou
authors.forename: Whitlow W L
authors.initials: WW
authors.lastname: Au
authors.forename: Julie N
authors.initials: JN
authors.lastname: Oswald
mesh_terms: D000162:Acoustics; D000465:Algorithms; D000818:Animals; D001331:Automation; D004289:Dolphins / Q000502:physiology; D005583:Fourier Analysis; D050640:Humpback Whale / Q000502:physiology; D050636:Minke Whale / Q000502:physiology*; D009038:Motion; D015203:Reproducibility of Results; D059629:Signal-To-Noise Ratio; D013016:Sound; D013018:Sound Spectrography; D013045:Species Specificity; D013997:Time Factors; D014828:Vocalization, Animal