Temporal evolution of the Mediterranean fin whale song
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...
Published in: | Scientific Reports |
---|---|
Main Authors: | , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2022
|
Subjects: | |
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 |
id |
ftunivaixmarseil:oai:HAL:hal-03824738v1 |
---|---|
record_format |
openpolar |
spelling |
ftunivaixmarseil:oai:HAL:hal-03824738v1 2024-04-21T07:57:53+00:00 Temporal evolution of the Mediterranean fin whale song Best, Paul Marxer, Ricard Paris, Sébastien Glotin, Hervé 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) 2022 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 en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-15379-0 hal-03824738 https://hal.science/hal-03824738 https://hal.science/hal-03824738/document https://hal.science/hal-03824738/file/s41598-022-15379-0.pdf doi:10.1038/s41598-022-15379-0 info:eu-repo/semantics/OpenAccess ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.science/hal-03824738 Scientific Reports, 2022, 12 (1), pp.13565. ⟨10.1038/s41598-022-15379-0⟩ [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 info:eu-repo/semantics/article Journal articles 2022 ftunivaixmarseil https://doi.org/10.1038/s41598-022-15379-0 2024-03-28T01:07:29Z 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. Article in Journal/Newspaper Balaenoptera physalus Fin whale Aix-Marseille Université: HAL Scientific Reports 12 1 |
institution |
Open Polar |
collection |
Aix-Marseille Université: HAL |
op_collection_id |
ftunivaixmarseil |
language |
English |
topic |
[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 |
spellingShingle |
[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 Best, Paul Marxer, Ricard Paris, Sébastien Glotin, Hervé Temporal evolution of the Mediterranean fin whale song |
topic_facet |
[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 |
description |
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. |
author2 |
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 |
author |
Best, Paul Marxer, Ricard Paris, Sébastien Glotin, Hervé |
author_facet |
Best, Paul Marxer, Ricard Paris, Sébastien Glotin, Hervé |
author_sort |
Best, Paul |
title |
Temporal evolution of the Mediterranean fin whale song |
title_short |
Temporal evolution of the Mediterranean fin whale song |
title_full |
Temporal evolution of the Mediterranean fin whale song |
title_fullStr |
Temporal evolution of the Mediterranean fin whale song |
title_full_unstemmed |
Temporal evolution of the Mediterranean fin whale song |
title_sort |
temporal evolution of the mediterranean fin whale song |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
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 |
genre |
Balaenoptera physalus Fin whale |
genre_facet |
Balaenoptera physalus Fin whale |
op_source |
ISSN: 2045-2322 EISSN: 2045-2322 Scientific Reports https://hal.science/hal-03824738 Scientific Reports, 2022, 12 (1), pp.13565. ⟨10.1038/s41598-022-15379-0⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-15379-0 hal-03824738 https://hal.science/hal-03824738 https://hal.science/hal-03824738/document https://hal.science/hal-03824738/file/s41598-022-15379-0.pdf doi:10.1038/s41598-022-15379-0 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1038/s41598-022-15379-0 |
container_title |
Scientific Reports |
container_volume |
12 |
container_issue |
1 |
_version_ |
1796939311421063168 |