Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems
International audience Killer whales (Orcinus orca) can produce 3 types of signals: clicks, whistles and vocalizations. This study focuses on Orca vocalizations from northern Vancouver Island (Hanson Island) where the NGO Orcalab developed a multi-hydrophone recording station to study Orcas. The aco...
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ftanrparis:oai:HAL:hal-02965872v1 2024-06-23T07:55:57+00:00 Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems Poupard, Marion Best, Paul Schlüter, Jan Symonds, Helena Spong, Paul Lengagne, Thierry Soriano, Thierry Glotin, Hervé Université de Toulon - UFR Sciences et Techniques (UTLN UFR ScT) Université de Toulon (UTLN) 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) Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA) Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS) Laboratoire Conception de Systèmes Mécaniques et Robotiques - EA 7398 (COSMER) ANR-20-CHIA-0014,ADSIL,Écoute intelligente sous-marine avancée(2020) ANR-18-CE40-0014,SMILES,Modélisation et Inférence Statistique pour l'Apprentissage non-supervisé à partir de Données Massives(2018) Londres, United Kingdom 2019-08-29 https://hal.science/hal-02965872 https://hal.science/hal-02965872/document https://hal.science/hal-02965872/file/poupard_best.pdf https://doi.org/10.7287/peerj.preprints.27979v1 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.7287/peerj.preprints.27979v1 hal-02965872 https://hal.science/hal-02965872 https://hal.science/hal-02965872/document https://hal.science/hal-02965872/file/poupard_best.pdf doi:10.7287/peerj.preprints.27979v1 info:eu-repo/semantics/OpenAccess Proceedings of the 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots https://hal.science/hal-02965872 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, Aug 2019, Londres, United Kingdom. ⟨10.7287/peerj.preprints.27979v1⟩ [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] [SDV.EE]Life Sciences [q-bio]/Ecology environment info:eu-repo/semantics/conferenceObject Conference papers 2019 ftanrparis https://doi.org/10.7287/peerj.preprints.27979v1 2024-06-12T23:47:17Z International audience Killer whales (Orcinus orca) can produce 3 types of signals: clicks, whistles and vocalizations. This study focuses on Orca vocalizations from northern Vancouver Island (Hanson Island) where the NGO Orcalab developed a multi-hydrophone recording station to study Orcas. The acoustic station is composed of 5 hydrophones and extends over 50 km 2 of ocean. Since 2015 we are continuously streaming the hydrophone signals to our laboratory in Toulon, France, yielding nearly 50 TB of synchronous multichannel recordings. In previous work, we trained a Convolutional Neural Network (CNN) to detect Orca vocalizations, using transfer learning from a bird activity dataset. Here, for each detected vocalization, we estimate the pitch contour (fundamental frequency). Finally, we cluster vocalizations by features describing the pitch contour. While preliminary, our results demonstrate a possible route towards automatic Orca call type classification. Furthermore, they can be linked to the presence of particular Orca pods in the area according to the classification of their call types. A large-scale call type classification would allow new insights on phonotactics and ethoacoustics of endangered Orca populations in the face of increasing anthropic pressure. Conference Object Orca Orcinus orca Portail HAL-ANR (Agence Nationale de la Recherche) |
institution |
Open Polar |
collection |
Portail HAL-ANR (Agence Nationale de la Recherche) |
op_collection_id |
ftanrparis |
language |
English |
topic |
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] [SDV.EE]Life Sciences [q-bio]/Ecology environment |
spellingShingle |
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] [SDV.EE]Life Sciences [q-bio]/Ecology environment Poupard, Marion Best, Paul Schlüter, Jan Symonds, Helena Spong, Paul Lengagne, Thierry Soriano, Thierry Glotin, Hervé Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
topic_facet |
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] [PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] [SDV.EE]Life Sciences [q-bio]/Ecology environment |
description |
International audience Killer whales (Orcinus orca) can produce 3 types of signals: clicks, whistles and vocalizations. This study focuses on Orca vocalizations from northern Vancouver Island (Hanson Island) where the NGO Orcalab developed a multi-hydrophone recording station to study Orcas. The acoustic station is composed of 5 hydrophones and extends over 50 km 2 of ocean. Since 2015 we are continuously streaming the hydrophone signals to our laboratory in Toulon, France, yielding nearly 50 TB of synchronous multichannel recordings. In previous work, we trained a Convolutional Neural Network (CNN) to detect Orca vocalizations, using transfer learning from a bird activity dataset. Here, for each detected vocalization, we estimate the pitch contour (fundamental frequency). Finally, we cluster vocalizations by features describing the pitch contour. While preliminary, our results demonstrate a possible route towards automatic Orca call type classification. Furthermore, they can be linked to the presence of particular Orca pods in the area according to the classification of their call types. A large-scale call type classification would allow new insights on phonotactics and ethoacoustics of endangered Orca populations in the face of increasing anthropic pressure. |
author2 |
Université de Toulon - UFR Sciences et Techniques (UTLN UFR ScT) Université de Toulon (UTLN) 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) Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés (LEHNA) Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Centre National de la Recherche Scientifique (CNRS) Laboratoire Conception de Systèmes Mécaniques et Robotiques - EA 7398 (COSMER) ANR-20-CHIA-0014,ADSIL,Écoute intelligente sous-marine avancée(2020) ANR-18-CE40-0014,SMILES,Modélisation et Inférence Statistique pour l'Apprentissage non-supervisé à partir de Données Massives(2018) |
format |
Conference Object |
author |
Poupard, Marion Best, Paul Schlüter, Jan Symonds, Helena Spong, Paul Lengagne, Thierry Soriano, Thierry Glotin, Hervé |
author_facet |
Poupard, Marion Best, Paul Schlüter, Jan Symonds, Helena Spong, Paul Lengagne, Thierry Soriano, Thierry Glotin, Hervé |
author_sort |
Poupard, Marion |
title |
Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
title_short |
Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
title_full |
Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
title_fullStr |
Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
title_full_unstemmed |
Large-scale unsupervised clustering of Orca vocalizations: a model for describing Orca communication systems |
title_sort |
large-scale unsupervised clustering of orca vocalizations: a model for describing orca communication systems |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.science/hal-02965872 https://hal.science/hal-02965872/document https://hal.science/hal-02965872/file/poupard_best.pdf https://doi.org/10.7287/peerj.preprints.27979v1 |
op_coverage |
Londres, United Kingdom |
genre |
Orca Orcinus orca |
genre_facet |
Orca Orcinus orca |
op_source |
Proceedings of the 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots https://hal.science/hal-02965872 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, Aug 2019, Londres, United Kingdom. ⟨10.7287/peerj.preprints.27979v1⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.7287/peerj.preprints.27979v1 hal-02965872 https://hal.science/hal-02965872 https://hal.science/hal-02965872/document https://hal.science/hal-02965872/file/poupard_best.pdf doi:10.7287/peerj.preprints.27979v1 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.7287/peerj.preprints.27979v1 |
_version_ |
1802648753478303744 |