Temporal evolution of the Mediterranean fin whale song

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 automatical...

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Bibliographic Details
Published in:Scientific reports 2022-08, Vol.12 (1), p.1-12, Article 13565
Main Authors: Best, Paul, Marxer, Ricard, Paris, Sébastien, Glotin, Hervé
Format: Article
Language:English
Subjects:
639/705/117
639/766/25/3927
704/829/826
Acoustics
Animal biology
Animal communication
Aquatic mammals
Automation
Balaenoptera physalus
Biological Physics
Computer Science
Humanities and Social Sciences
Hydrophones
Hypotheses
Life Sciences
Machine Learning
Mechanics
multidisciplinary
Neural networks
Noise
Physics
Science
Science (multidisciplinary)
Signal and Image Processing
Song
Sound
Trends
Vertebrate Zoology
Whales & whaling
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Summary: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.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-022-15379-0