Automatic Indexing for Content Analysis of Whale Recordings and XML Representation
This paper focuses on the robust indexing of sperm whale hydrophone recordings based on a set of features extracted from a real-time passive underwater acoustic tracking algorithm for multiple whales using four hydrophones. Acoustic localization permits the study of whale behavior in deep water with...
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ftdoajarticles:oai:doaj.org/article:f00ce882ac9240fea341d973fad173f5 2023-05-15T18:26:47+02:00 Automatic Indexing for Content Analysis of Whale Recordings and XML Representation Hervé Glotin Frédéric Bénard 2010-01-01T00:00:00Z https://doi.org/10.1155/2010/695017 https://doaj.org/article/f00ce882ac9240fea341d973fad173f5 EN eng SpringerOpen http://dx.doi.org/10.1155/2010/695017 https://doaj.org/toc/1687-6172 https://doaj.org/toc/1687-6180 doi:10.1155/2010/695017 1687-6172 1687-6180 https://doaj.org/article/f00ce882ac9240fea341d973fad173f5 EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010) Telecommunication TK5101-6720 Electronics TK7800-8360 article 2010 ftdoajarticles https://doi.org/10.1155/2010/695017 2022-12-31T01:41:26Z This paper focuses on the robust indexing of sperm whale hydrophone recordings based on a set of features extracted from a real-time passive underwater acoustic tracking algorithm for multiple whales using four hydrophones. Acoustic localization permits the study of whale behavior in deep water without interfering with the environment. Given the position coordinates, we are able to generate different features such as the speed, energy of the clicks, Inter-Click-Interval (ICI), and so on. These features allow to construct different markers which allow us to index and structure the audio files. Thus, the behavior study is facilitated by choosing and accessing the corresponding index in the audio file. The complete indexing algorithm is processed on real data from the NUWC (Naval Undersea Warfare Center of the US Navy) and the AUTEC (Atlantic Undersea Test & Evaluation Center-Bahamas). Our model is validated by similar results from the US Navy (NUWC) and SOEST (School of Ocean and Earth Science and Technology) Hawaii university labs in a single whale case. Finally, as an illustration, we index a single whale sound file using the extracted whale's features provided by the tracking, and we present an example of an XML script structuring it. Article in Journal/Newspaper Sperm whale Directory of Open Access Journals: DOAJ Articles EURASIP Journal on Advances in Signal Processing 2010 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Telecommunication TK5101-6720 Electronics TK7800-8360 |
spellingShingle |
Telecommunication TK5101-6720 Electronics TK7800-8360 Hervé Glotin Frédéric Bénard Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
topic_facet |
Telecommunication TK5101-6720 Electronics TK7800-8360 |
description |
This paper focuses on the robust indexing of sperm whale hydrophone recordings based on a set of features extracted from a real-time passive underwater acoustic tracking algorithm for multiple whales using four hydrophones. Acoustic localization permits the study of whale behavior in deep water without interfering with the environment. Given the position coordinates, we are able to generate different features such as the speed, energy of the clicks, Inter-Click-Interval (ICI), and so on. These features allow to construct different markers which allow us to index and structure the audio files. Thus, the behavior study is facilitated by choosing and accessing the corresponding index in the audio file. The complete indexing algorithm is processed on real data from the NUWC (Naval Undersea Warfare Center of the US Navy) and the AUTEC (Atlantic Undersea Test & Evaluation Center-Bahamas). Our model is validated by similar results from the US Navy (NUWC) and SOEST (School of Ocean and Earth Science and Technology) Hawaii university labs in a single whale case. Finally, as an illustration, we index a single whale sound file using the extracted whale's features provided by the tracking, and we present an example of an XML script structuring it. |
format |
Article in Journal/Newspaper |
author |
Hervé Glotin Frédéric Bénard |
author_facet |
Hervé Glotin Frédéric Bénard |
author_sort |
Hervé Glotin |
title |
Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
title_short |
Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
title_full |
Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
title_fullStr |
Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
title_full_unstemmed |
Automatic Indexing for Content Analysis of Whale Recordings and XML Representation |
title_sort |
automatic indexing for content analysis of whale recordings and xml representation |
publisher |
SpringerOpen |
publishDate |
2010 |
url |
https://doi.org/10.1155/2010/695017 https://doaj.org/article/f00ce882ac9240fea341d973fad173f5 |
genre |
Sperm whale |
genre_facet |
Sperm whale |
op_source |
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010) |
op_relation |
http://dx.doi.org/10.1155/2010/695017 https://doaj.org/toc/1687-6172 https://doaj.org/toc/1687-6180 doi:10.1155/2010/695017 1687-6172 1687-6180 https://doaj.org/article/f00ce882ac9240fea341d973fad173f5 |
op_doi |
https://doi.org/10.1155/2010/695017 |
container_title |
EURASIP Journal on Advances in Signal Processing |
container_volume |
2010 |
container_issue |
1 |
_version_ |
1766208759856627712 |