Automatic prosodic clustering of humpback whales song

• Main Authors: Picot, Gautier, Adam, Olivier, Bergounioux, Maïtine, Glotin, Hervé, Mayer, François-Xavier
• Other Authors: Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO), Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire des Sciences de l'Information et des Systèmes (LSIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Centre National de la Recherche Scientifique (CNRS), Association MEGAPTERA, Association
• Format: Report
• Language: English
• Published: HAL CCSD 2008
• Subjects: prosody; whale song; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; Humpback Whale
• Online Access: https://hal.science/hal-00315949; https://hal.science/hal-00315949/document; https://hal.science/hal-00315949/file/Passive_BaleineABosse.pdf

6p 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.