Subunit definition and analysis for humpback whale call classification
International audience Songs of humpback whales (Megaptera novaeangliae) have been studied for several years to gain a deeper insight on the intraspecific social interactions. Such a complex acoustic display is indeed thought to play an important role in both the mating ritual and male to male inter...
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Online Access: | https://hal.science/hal-02264967 https://doi.org/10.1016/j.apacoust.2010.05.016 |
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ftunivaixmarseil:oai:HAL:hal-02264967v1 2024-01-07T09:43:48+01:00 Subunit definition and analysis for humpback whale call classification Pace, Federica Benard, Frederic Glotin, Hervé Adam, Olivier White, Paul University of Southampton Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques (LSIS- INSM) Université de la Méditerranée - Aix-Marseille 2-Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Institut National des Sciences de l'Informatique et ses Interactions-Centre National de la Recherche Scientifique (CNRS) Neurobiologie de l'apprentissage, de la mémoire et de la communication (NAMC) Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS) 2010-11-04 https://hal.science/hal-02264967 https://doi.org/10.1016/j.apacoust.2010.05.016 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apacoust.2010.05.016 hal-02264967 https://hal.science/hal-02264967 doi:10.1016/j.apacoust.2010.05.016 ISSN: 0003-682X Applied Acoustics https://hal.science/hal-02264967 Applied Acoustics, 2010, 71 (11), pp.1107-1112. ⟨10.1016/j.apacoust.2010.05.016⟩ [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences info:eu-repo/semantics/article Journal articles 2010 ftunivaixmarseil https://doi.org/10.1016/j.apacoust.2010.05.016 2023-12-12T23:38:25Z International audience Songs of humpback whales (Megaptera novaeangliae) have been studied for several years to gain a deeper insight on the intraspecific social interactions. Such a complex acoustic display is indeed thought to play an important role in both the mating ritual and male to male interaction. Hence, the need to classify the unit constituents of a song objectively and systematically has become crucial to allow processing large data sets. We propose a new approach for song segmentation based on the definition of subunits. Songs of humpback whales collected in Madagascar in August 2008 and 2009 were segmented using an energy detector with a double threshold and classified automatically with a clustering algorithm using MFCCs: the results, which were checked against a manual classification, showed that the use of subunit as the basic constituent of a song rather than the unit produces a more accurate classification of the calls. Such results were expected given that subunits are generally shorter in duration and less variable in terms of their frequency content and so their characteristics are more easily captured by an automatic classifier. Analysis of songs from other years and various areas of the World is necessary to corroborate the repeatability of the method proposed. Article in Journal/Newspaper Humpback Whale Megaptera novaeangliae Aix-Marseille Université: HAL Applied Acoustics 71 11 1107 1112 |
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Open Polar |
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Aix-Marseille Université: HAL |
op_collection_id |
ftunivaixmarseil |
language |
English |
topic |
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences |
spellingShingle |
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences Pace, Federica Benard, Frederic Glotin, Hervé Adam, Olivier White, Paul Subunit definition and analysis for humpback whale call classification |
topic_facet |
[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology [SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behavior [SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences |
description |
International audience Songs of humpback whales (Megaptera novaeangliae) have been studied for several years to gain a deeper insight on the intraspecific social interactions. Such a complex acoustic display is indeed thought to play an important role in both the mating ritual and male to male interaction. Hence, the need to classify the unit constituents of a song objectively and systematically has become crucial to allow processing large data sets. We propose a new approach for song segmentation based on the definition of subunits. Songs of humpback whales collected in Madagascar in August 2008 and 2009 were segmented using an energy detector with a double threshold and classified automatically with a clustering algorithm using MFCCs: the results, which were checked against a manual classification, showed that the use of subunit as the basic constituent of a song rather than the unit produces a more accurate classification of the calls. Such results were expected given that subunits are generally shorter in duration and less variable in terms of their frequency content and so their characteristics are more easily captured by an automatic classifier. Analysis of songs from other years and various areas of the World is necessary to corroborate the repeatability of the method proposed. |
author2 |
University of Southampton Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques (LSIS- INSM) Université de la Méditerranée - Aix-Marseille 2-Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Institut National des Sciences de l'Informatique et ses Interactions-Centre National de la Recherche Scientifique (CNRS) Neurobiologie de l'apprentissage, de la mémoire et de la communication (NAMC) Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Pace, Federica Benard, Frederic Glotin, Hervé Adam, Olivier White, Paul |
author_facet |
Pace, Federica Benard, Frederic Glotin, Hervé Adam, Olivier White, Paul |
author_sort |
Pace, Federica |
title |
Subunit definition and analysis for humpback whale call classification |
title_short |
Subunit definition and analysis for humpback whale call classification |
title_full |
Subunit definition and analysis for humpback whale call classification |
title_fullStr |
Subunit definition and analysis for humpback whale call classification |
title_full_unstemmed |
Subunit definition and analysis for humpback whale call classification |
title_sort |
subunit definition and analysis for humpback whale call classification |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://hal.science/hal-02264967 https://doi.org/10.1016/j.apacoust.2010.05.016 |
genre |
Humpback Whale Megaptera novaeangliae |
genre_facet |
Humpback Whale Megaptera novaeangliae |
op_source |
ISSN: 0003-682X Applied Acoustics https://hal.science/hal-02264967 Applied Acoustics, 2010, 71 (11), pp.1107-1112. ⟨10.1016/j.apacoust.2010.05.016⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.apacoust.2010.05.016 hal-02264967 https://hal.science/hal-02264967 doi:10.1016/j.apacoust.2010.05.016 |
op_doi |
https://doi.org/10.1016/j.apacoust.2010.05.016 |
container_title |
Applied Acoustics |
container_volume |
71 |
container_issue |
11 |
container_start_page |
1107 |
op_container_end_page |
1112 |
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1787425089218674688 |