Temporal evolution of the Mediterranean fin whale song

• Published in: Scientific Reports
• Main Authors: Best, Paul, Marxer, Ricard, Paris, Sébastien, Glotin, Hervé
• Other Authors: DYNamiques de l’Information (DYNI), Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), ANR-18-CE40-0014,SMILES,Modélisation et Inférence Statistique pour l'Apprentissage non-supervisé à partir de Données Massives(2018), ANR-20-CHIA-0014,ADSIL,Écoute intelligente sous-marine avancée(2020)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2022
• Subjects: [INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]; [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]; [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology; Balaenoptera physalus; Fin whale
• Online Access: https://hal.science/hal-03824738; https://hal.science/hal-03824738/document; https://hal.science/hal-03824738/file/s41598-022-15379-0.pdf; https://doi.org/10.1038/s41598-022-15379-0

International audience Abstract We present an analysis of fin whale ( Balaenoptera physalus ) songs on passive acoustic recordings from the Pelagos Sanctuary (Western Mediterranean Basin). The recordings were gathered between 2008 and 2018 using 2 different hydrophone stations. We show how 20 Hz fin whale pulses can be automatically detected using a low complexity convolutional neural network (CNN) despite data variability (different recording devices exposed to diverse noises). The pulses were further classified into the two categories described in past studies and inter pulse intervals (IPI) were measured. The results confirm previous observations on the local relationship between pulse type and IPI with substantially more data. Furthermore we show inter-annual shifts in IPI and an intra-annual trend in pulse center frequency. This study provides new elements of comparison for the understanding of long term fin whale song trends worldwide.