DocumentCode
2775705
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
fYear
2008
fDate
14-17 Oct. 2008
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/PASSIVE.2008.4786974
Filename
4786974
Link To Document