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), Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO), 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), Centre National de la Recherche Scientifique (CNRS)-Arts et Métiers Paristech ENSAM Aix-en-Provence-Université de Toulon (UTLN)-Aix Marseille Université (AMU), Association MEGAPTERA, Association
• Format: Report
• Language: English
• Published: HAL CCSD 2008
• Subjects: prosody; whale song; musiq; geo; Humpback Whale
• Online Access: https://hal.archives-ouvertes.fr/hal-00315949/file/Passive_BaleineABosse.pdf; https://hal.archives-ouvertes.fr/hal-00315949

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.