High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ

International audience Passive acoustics allow us to study large animals and obtain information that could not be gathered through other methods. In this paper we study a set of near-field audiovisual recordings of a sperm whale pod, acquired with a ultra high-frequency and small aperture antenna. W...

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Main Authors: Ferrari, Maxence, Glotin, Hervé, Marxer, Ricard, Barchasz, Valentin, Sarano, Véronique, Gies, Valentin, Asch, Mark, Sarano, François
Other Authors: Laboratoire Amiénois de Mathématique Fondamentale et Appliquée - UMR CNRS 7352 (LAMFA), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), 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), Université de Toulon (UTLN), University of Sheffield Sheffield, Longitude 181, Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Amiénois de Mathématique Fondamentale et Appliquée (LAMFA), Bureau des Longitudes, PNRIA
Format: Conference Object
Language:English
Published: HAL CCSD 2019
Subjects:
Online Access:https://hal.science/hal-02313898
https://hal.science/hal-02313898/document
https://hal.science/hal-02313898/file/Sarano_OCEAN.pdf
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record_format openpolar
spelling ftunivaixmarseil:oai:HAL:hal-02313898v1 2024-05-19T07:47:23+00:00 High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ Ferrari, Maxence Glotin, Hervé Marxer, Ricard Barchasz, Valentin Sarano, Véronique Gies, Valentin Asch, Mark Sarano, François Laboratoire Amiénois de Mathématique Fondamentale et Appliquée - UMR CNRS 7352 (LAMFA) Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS) 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) Université de Toulon (UTLN) University of Sheffield Sheffield Longitude 181 Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP) Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) Laboratoire Amiénois de Mathématique Fondamentale et Appliquée (LAMFA) Bureau des Longitudes PNRIA Marseille, France 2019-06-17 https://hal.science/hal-02313898 https://hal.science/hal-02313898/document https://hal.science/hal-02313898/file/Sarano_OCEAN.pdf en eng HAL CCSD hal-02313898 https://hal.science/hal-02313898 https://hal.science/hal-02313898/document https://hal.science/hal-02313898/file/Sarano_OCEAN.pdf info:eu-repo/semantics/OpenAccess OCEANS 2019 https://hal.science/hal-02313898 OCEANS 2019, Jun 2019, Marseille, France Long Term Survey 3D Tracking Tran- sient Analysis Weak Signal Detection Abyss Monitoring Stereo- Autoencoder Autoencoder FDTD Cetacean Survey Index Terms-Passive Acoustic Monitoring [SDV.BA]Life Sciences [q-bio]/Animal biology [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation info:eu-repo/semantics/conferenceObject Conference papers 2019 ftunivaixmarseil 2024-05-02T00:08:33Z International audience Passive acoustics allow us to study large animals and obtain information that could not be gathered through other methods. In this paper we study a set of near-field audiovisual recordings of a sperm whale pod, acquired with a ultra high-frequency and small aperture antenna. We propose a novel kind of autoencoder, a Stereo-Autoencoder, and show how it allows to build acoustic manifolds in order to increase our knowledge regarding the characterization of their vocalizations, and possible acoustic individual signature. Conference Object Physeter macrocephalus Sperm whale Aix-Marseille Université: HAL
institution Open Polar
collection Aix-Marseille Université: HAL
op_collection_id ftunivaixmarseil
language English
topic Long Term Survey
3D Tracking
Tran- sient Analysis
Weak Signal Detection
Abyss Monitoring
Stereo- Autoencoder
Autoencoder
FDTD
Cetacean Survey
Index Terms-Passive Acoustic Monitoring
[SDV.BA]Life Sciences [q-bio]/Animal biology
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
spellingShingle Long Term Survey
3D Tracking
Tran- sient Analysis
Weak Signal Detection
Abyss Monitoring
Stereo- Autoencoder
Autoencoder
FDTD
Cetacean Survey
Index Terms-Passive Acoustic Monitoring
[SDV.BA]Life Sciences [q-bio]/Animal biology
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Ferrari, Maxence
Glotin, Hervé
Marxer, Ricard
Barchasz, Valentin
Sarano, Véronique
Gies, Valentin
Asch, Mark
Sarano, François
High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
topic_facet Long Term Survey
3D Tracking
Tran- sient Analysis
Weak Signal Detection
Abyss Monitoring
Stereo- Autoencoder
Autoencoder
FDTD
Cetacean Survey
Index Terms-Passive Acoustic Monitoring
[SDV.BA]Life Sciences [q-bio]/Animal biology
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
description International audience Passive acoustics allow us to study large animals and obtain information that could not be gathered through other methods. In this paper we study a set of near-field audiovisual recordings of a sperm whale pod, acquired with a ultra high-frequency and small aperture antenna. We propose a novel kind of autoencoder, a Stereo-Autoencoder, and show how it allows to build acoustic manifolds in order to increase our knowledge regarding the characterization of their vocalizations, and possible acoustic individual signature.
author2 Laboratoire Amiénois de Mathématique Fondamentale et Appliquée - UMR CNRS 7352 (LAMFA)
Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)
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)
Université de Toulon (UTLN)
University of Sheffield Sheffield
Longitude 181
Institut des Matériaux, de Microélectronique et des Nanosciences de Provence (IM2NP)
Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Amiénois de Mathématique Fondamentale et Appliquée (LAMFA)
Bureau des Longitudes
PNRIA
format Conference Object
author Ferrari, Maxence
Glotin, Hervé
Marxer, Ricard
Barchasz, Valentin
Sarano, Véronique
Gies, Valentin
Asch, Mark
Sarano, François
author_facet Ferrari, Maxence
Glotin, Hervé
Marxer, Ricard
Barchasz, Valentin
Sarano, Véronique
Gies, Valentin
Asch, Mark
Sarano, François
author_sort Ferrari, Maxence
title High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
title_short High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
title_full High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
title_fullStr High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
title_full_unstemmed High-frequency Near-field Physeter macrocephalus Monitoring by Stereo-Autoencoder and 3D Model of Sonar Organ
title_sort high-frequency near-field physeter macrocephalus monitoring by stereo-autoencoder and 3d model of sonar organ
publisher HAL CCSD
publishDate 2019
url https://hal.science/hal-02313898
https://hal.science/hal-02313898/document
https://hal.science/hal-02313898/file/Sarano_OCEAN.pdf
op_coverage Marseille, France
genre Physeter macrocephalus
Sperm whale
genre_facet Physeter macrocephalus
Sperm whale
op_source OCEANS 2019
https://hal.science/hal-02313898
OCEANS 2019, Jun 2019, Marseille, France
op_relation hal-02313898
https://hal.science/hal-02313898
https://hal.science/hal-02313898/document
https://hal.science/hal-02313898/file/Sarano_OCEAN.pdf
op_rights info:eu-repo/semantics/OpenAccess
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