Title :
Automatic prosodic clustering of humpback whales song
Author :
Picot, G. ; Adam, O. ; Bergounioux, M. ; Glotin, H. ; Mayer, F.-X.
Author_Institution :
Univ. Orleans, Orleans
Abstract :
We automatically segmented a humpback whale song using the Roger Payne´s principle of sound unit and we patterned and automatically classified intonations of sound units thanks to an unsupervised algorithm to describe recurrent patterns. We determined 6 different patterns of intonation. Some different sound units present the same pattern of intonation and one sound unit can be submitted to different patterns of intonation. Intonation could be related to information´s transmission between humpback whales while they are singing.
Keywords :
acoustic signal processing; pattern classification; pattern clustering; automatic prosodic clustering; humpback whales song; sound unit intonation classification; unsupervised algorithm; Acoustic signal processing; Computer languages; Databases; Frequency estimation; Loudspeakers; Signal processing algorithms; Software algorithms; Sonar; Spectrogram; Whales;
Conference_Titel :
New Trends for Environmental Monitoring Using Passive Systems, 2008
Conference_Location :
Hyeres, French Riviera
Print_ISBN :
978-1-4244-2815-1
Electronic_ISBN :
978-1-4244-2816-8
DOI :
10.1109/PASSIVE.2008.4786974