An analysis of pilot whale vocalization activity using hidden Markov models
Vocalizations of cetaceans form a key component of their social interactions. Such vocalization activity is driven by the behavioral states of the whales, which are not directly observable, so that latent-state models are natural candidates for modeling empirical data on vocalizations. In this paper...
Published in: | The Journal of the Acoustical Society of America |
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Format: | Article in Journal/Newspaper |
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2017
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Online Access: | https://risweb.st-andrews.ac.uk/portal/en/researchoutput/an-analysis-of-pilot-whale-vocalization-activity-using-hidden-markov-models(33319143-75fc-4fb8-be55-5b2c0951aaf5).html https://doi.org/10.1121/1.4973624 https://research-repository.st-andrews.ac.uk/bitstream/10023/11194/1/Popov_2017_Analysis_JASA_AAM.pdf |
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ftunstandrewcris:oai:risweb.st-andrews.ac.uk:publications/33319143-75fc-4fb8-be55-5b2c0951aaf5 2023-05-15T17:08:16+02:00 An analysis of pilot whale vocalization activity using hidden Markov models Popov, Valentin Mina Langrock, Roland De Ruiter, Stacy Lynn Visser, Fleur 2017-01 application/pdf https://risweb.st-andrews.ac.uk/portal/en/researchoutput/an-analysis-of-pilot-whale-vocalization-activity-using-hidden-markov-models(33319143-75fc-4fb8-be55-5b2c0951aaf5).html https://doi.org/10.1121/1.4973624 https://research-repository.st-andrews.ac.uk/bitstream/10023/11194/1/Popov_2017_Analysis_JASA_AAM.pdf eng eng info:eu-repo/semantics/openAccess Popov , V M , Langrock , R , De Ruiter , S L & Visser , F 2017 , ' An analysis of pilot whale vocalization activity using hidden Markov models ' , Journal of the Acoustical Society of America , vol. 141 , no. 1 , pp. 159-171 . https://doi.org/10.1121/1.4973624 article 2017 ftunstandrewcris https://doi.org/10.1121/1.4973624 2022-06-02T07:47:00Z Vocalizations of cetaceans form a key component of their social interactions. Such vocalization activity is driven by the behavioral states of the whales, which are not directly observable, so that latent-state models are natural candidates for modeling empirical data on vocalizations. In this paper, we use hidden Markov models to analyze calling activity of long-finned pilot whales ( Globicephala melas ) recorded over three years in the Vestfjord basin off Lofoten, Norway. Baseline models are used to motivate the use of three states, while more complex models are fit to study the influence of covariates on the state-switching dynamics. Our analysis demonstrates the potential usefulness of hidden Markov models in concisely yet accurately describing the stochastic patterns found in animal communication data, thereby providing a framework for drawing meaningful biological inference. Article in Journal/Newspaper Lofoten University of St Andrews: Research Portal Lofoten Norway Vestfjord ENVELOPE(-28.750,-28.750,70.500,70.500) The Journal of the Acoustical Society of America 141 1 159 171 |
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Open Polar |
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University of St Andrews: Research Portal |
op_collection_id |
ftunstandrewcris |
language |
English |
description |
Vocalizations of cetaceans form a key component of their social interactions. Such vocalization activity is driven by the behavioral states of the whales, which are not directly observable, so that latent-state models are natural candidates for modeling empirical data on vocalizations. In this paper, we use hidden Markov models to analyze calling activity of long-finned pilot whales ( Globicephala melas ) recorded over three years in the Vestfjord basin off Lofoten, Norway. Baseline models are used to motivate the use of three states, while more complex models are fit to study the influence of covariates on the state-switching dynamics. Our analysis demonstrates the potential usefulness of hidden Markov models in concisely yet accurately describing the stochastic patterns found in animal communication data, thereby providing a framework for drawing meaningful biological inference. |
format |
Article in Journal/Newspaper |
author |
Popov, Valentin Mina Langrock, Roland De Ruiter, Stacy Lynn Visser, Fleur |
spellingShingle |
Popov, Valentin Mina Langrock, Roland De Ruiter, Stacy Lynn Visser, Fleur An analysis of pilot whale vocalization activity using hidden Markov models |
author_facet |
Popov, Valentin Mina Langrock, Roland De Ruiter, Stacy Lynn Visser, Fleur |
author_sort |
Popov, Valentin Mina |
title |
An analysis of pilot whale vocalization activity using hidden Markov models |
title_short |
An analysis of pilot whale vocalization activity using hidden Markov models |
title_full |
An analysis of pilot whale vocalization activity using hidden Markov models |
title_fullStr |
An analysis of pilot whale vocalization activity using hidden Markov models |
title_full_unstemmed |
An analysis of pilot whale vocalization activity using hidden Markov models |
title_sort |
analysis of pilot whale vocalization activity using hidden markov models |
publishDate |
2017 |
url |
https://risweb.st-andrews.ac.uk/portal/en/researchoutput/an-analysis-of-pilot-whale-vocalization-activity-using-hidden-markov-models(33319143-75fc-4fb8-be55-5b2c0951aaf5).html https://doi.org/10.1121/1.4973624 https://research-repository.st-andrews.ac.uk/bitstream/10023/11194/1/Popov_2017_Analysis_JASA_AAM.pdf |
long_lat |
ENVELOPE(-28.750,-28.750,70.500,70.500) |
geographic |
Lofoten Norway Vestfjord |
geographic_facet |
Lofoten Norway Vestfjord |
genre |
Lofoten |
genre_facet |
Lofoten |
op_source |
Popov , V M , Langrock , R , De Ruiter , S L & Visser , F 2017 , ' An analysis of pilot whale vocalization activity using hidden Markov models ' , Journal of the Acoustical Society of America , vol. 141 , no. 1 , pp. 159-171 . https://doi.org/10.1121/1.4973624 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1121/1.4973624 |
container_title |
The Journal of the Acoustical Society of America |
container_volume |
141 |
container_issue |
1 |
container_start_page |
159 |
op_container_end_page |
171 |
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1766063994937802752 |