Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation
International audience Most automatic detections of highly stereotyped baleen-whale calls such as the Antarctic blue whale calls (known as Z-calls) are usually performed by matching spectrogram-based templates. However, such approach presents weaknesses, such as its dependence on spectrogram paramet...
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Language: | French |
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HAL CCSD
2015
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Online Access: | https://hal.archives-ouvertes.fr/hal-01206875 |
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geo envir LEROY, Emmanuelle Socheleau, François-Xavier CARVALLO PECCI, Andrés Nicolás Samaran, Flore Bonnel, Julien Royer, Jean-Yves Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
topic_facet |
geo envir |
description |
International audience Most automatic detections of highly stereotyped baleen-whale calls such as the Antarctic blue whale calls (known as Z-calls) are usually performed by matching spectrogram-based templates. However, such approach presents weaknesses, such as its dependence on spectrogram parameters, as well as on a-priori subjective choices of a detection template and thresholds. Moreover, interferences (i.e. transient signals that are not a Z-call) in the considered frequency range (18-28 Hz), a main issue for all detection methods, strongly impact the detection performances. Here we propose a detector overcoming these limitations. Our algorithm is based on a subspace detector of the Antarctic blue whale call. Indeed, any Z-call can be modeled as a sigmoidal-frequency signal with unknown time-varying amplitude. The subspace detection strategy takes into account the presence of interferences, as well as intra and inter-annual frequency variations in the blue whale calls, which are commonly observed. Furthermore, the detection threshold adapts automatically to the ambient noise, a major improvement relative to predefined and fixed threshold of spectrogram correlation detectors. Thanks to subspace detection theory the detection performances are analytically known, which is crucial for detailed analyses such as density estimation. As a byproduct, the detector also provides other useful information such as the SNR of each detected Z-call and an estimation of the ambient noise. The proposed method has been applied on marine data recorded in the southern Indian Ocean, and the detector performances are compared with a classical spectrogram correlator (XBAT). To perform this comparison, three different contexts commonly encountered in acoustic databases have been defined, and our dataset has been divided into three subsets by an experienced human operator (EHO): 1) data containing only Z-calls at various SNR, 2) data containing Z-calls and various types of interferences, 3) and data with interferences only. In ... |
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Domaines Océaniques (LDO) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Observatoire des Sciences de l'Univers-Institut d'écologie et environnement-Centre National de la Recherche Scientifique (CNRS) Lab-STICC_TB_CACS_COM Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM) Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM) Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS) Département Signal et Communications (SC) Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom Paris (IMT) Lab-STICC_ENSTAB_CID_TOMS |
format |
Other/Unknown Material |
author |
LEROY, Emmanuelle Socheleau, François-Xavier CARVALLO PECCI, Andrés Nicolás Samaran, Flore Bonnel, Julien Royer, Jean-Yves |
author_facet |
LEROY, Emmanuelle Socheleau, François-Xavier CARVALLO PECCI, Andrés Nicolás Samaran, Flore Bonnel, Julien Royer, Jean-Yves |
author_sort |
LEROY, Emmanuelle |
title |
Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
title_short |
Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
title_full |
Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
title_fullStr |
Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
title_full_unstemmed |
Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation |
title_sort |
robust detection of antarctic blue whale calls, and comparison with classical spectrogram correlation |
publisher |
HAL CCSD |
publishDate |
2015 |
url |
https://hal.archives-ouvertes.fr/hal-01206875 |
op_coverage |
La Jolla, Ca, United States |
geographic |
Antarctic Indian The Antarctic |
geographic_facet |
Antarctic Indian The Antarctic |
genre |
Antarc* Antarctic baleen whale Blue whale |
genre_facet |
Antarc* Antarctic baleen whale Blue whale |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société DCLDE : 7th International Workshop on Detection, Classification, Localization, and Density Estimation DCLDE : 7th International Workshop on Detection, Classification, Localization, and Density Estimation, Jul 2015, La Jolla, Ca, États-Unis |
op_relation |
hal-01206875 10670/1.jm61k2 https://hal.archives-ouvertes.fr/hal-01206875 |
op_rights |
undefined |
_version_ |
1766255965457350656 |
spelling |
fttriple:oai:gotriple.eu:10670/1.jm61k2 2023-05-15T13:51:56+02:00 Robust detection of Antarctic blue whale calls, and comparison with classical spectrogram correlation LEROY, Emmanuelle Socheleau, François-Xavier CARVALLO PECCI, Andrés Nicolás Samaran, Flore Bonnel, Julien Royer, Jean-Yves Domaines Océaniques (LDO) Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Observatoire des Sciences de l'Univers-Institut d'écologie et environnement-Centre National de la Recherche Scientifique (CNRS) Lab-STICC_TB_CACS_COM Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM) Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM) Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS) Département Signal et Communications (SC) Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom Paris (IMT) Lab-STICC_ENSTAB_CID_TOMS La Jolla, Ca, United States 2015-07-13 https://hal.archives-ouvertes.fr/hal-01206875 fr fre HAL CCSD hal-01206875 10670/1.jm61k2 https://hal.archives-ouvertes.fr/hal-01206875 undefined Hyper Article en Ligne - Sciences de l'Homme et de la Société DCLDE : 7th International Workshop on Detection, Classification, Localization, and Density Estimation DCLDE : 7th International Workshop on Detection, Classification, Localization, and Density Estimation, Jul 2015, La Jolla, Ca, États-Unis geo envir Conference Output https://vocabularies.coar-repositories.org/resource_types/c_c94f/ 2015 fttriple 2023-01-22T18:39:29Z International audience Most automatic detections of highly stereotyped baleen-whale calls such as the Antarctic blue whale calls (known as Z-calls) are usually performed by matching spectrogram-based templates. However, such approach presents weaknesses, such as its dependence on spectrogram parameters, as well as on a-priori subjective choices of a detection template and thresholds. Moreover, interferences (i.e. transient signals that are not a Z-call) in the considered frequency range (18-28 Hz), a main issue for all detection methods, strongly impact the detection performances. Here we propose a detector overcoming these limitations. Our algorithm is based on a subspace detector of the Antarctic blue whale call. Indeed, any Z-call can be modeled as a sigmoidal-frequency signal with unknown time-varying amplitude. The subspace detection strategy takes into account the presence of interferences, as well as intra and inter-annual frequency variations in the blue whale calls, which are commonly observed. Furthermore, the detection threshold adapts automatically to the ambient noise, a major improvement relative to predefined and fixed threshold of spectrogram correlation detectors. Thanks to subspace detection theory the detection performances are analytically known, which is crucial for detailed analyses such as density estimation. As a byproduct, the detector also provides other useful information such as the SNR of each detected Z-call and an estimation of the ambient noise. The proposed method has been applied on marine data recorded in the southern Indian Ocean, and the detector performances are compared with a classical spectrogram correlator (XBAT). To perform this comparison, three different contexts commonly encountered in acoustic databases have been defined, and our dataset has been divided into three subsets by an experienced human operator (EHO): 1) data containing only Z-calls at various SNR, 2) data containing Z-calls and various types of interferences, 3) and data with interferences only. In ... Other/Unknown Material Antarc* Antarctic baleen whale Blue whale Unknown Antarctic Indian The Antarctic |