Analysis and classification of beaked whale buzz clicks

Gerard, Odile; Coraluppi, Stefano; Carthel, Craig

doi:10.1109/passive.2008.4787005

Cited by 3 publications

(5 citation statements)

References 6 publications

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“…Our first idea to address this difficulty was to introduce new criteria to distinguish buzz clicks from regular clicks, with corresponding modification to the tracker to take this phenomenon into account. However as explained in [12], the buzz clicks recorded by the DTAG are similar to what is described in [7], while those recorded at AUTEC in the Bahamas vary and can differ significantly from the characteristics described in [7]. Thus, while we did not succeed to classify these clicks, we found that their spectrum is very similar from one click to the next.…”

Section: Introductionsupporting

confidence: 46%

“…As explained in [12] we did not succeed to classify the buzz clicks available from the dataset provided by the organizers of the 3rd International Workshop on the Detection and Classification of Marine Mammals using Passive Acoustics and recorded at AUTEC in the Bahamas. However, due to the slow variation in their spectrum from one click to the next we expect the tracker to be able to associate them.…”

Section: A Introductionmentioning

confidence: 95%

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Estimating the number of beaked whales using an MHT tracker

Gerard

Carthel

Coraluppi

2008

2008 New Trends for Environmental Monitoring Using Passive Systems

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In previous work we have used a multi-hypothesis tracking (MHT) algorithm to estimate the number of whales vocalizing at the same time. This paper introduces modifications that exploit the frequency content of clicks, thus allowing promising tracking and classification of both regular clicks and buzzes. Our method is validated with a dataset of Blainville's beaked whales where the number of animals is known. The results are satisfactory.

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Section: Introductionsupporting

confidence: 46%

Section: A Introductionmentioning

confidence: 95%

Estimating the number of beaked whales using an MHT tracker

Gerard

Carthel

Coraluppi

2008

2008 New Trends for Environmental Monitoring Using Passive Systems

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“…In this figure we can see how much the characteristics (in particular the peak frequency) of a click of the same buzz can vary. The duration of the buzz click have been found to vary from 100 µs to 800 µs and the peak frequency from 17 to 35 kHz [4].…”

Section: Results On Blainville's Beaked Whale Buzzesmentioning

confidence: 99%

“…Some of them have the characteristics described in [3], but others have characteristics that can significantly differ [4]. While we did not succeed to classify these clicks individually because of the variation of their characteristics, we found that their spectrum is very similar from one click to the next [4]. Thus, the multihypothesis tracking algorithm was modified to use this property of slowly varying spectrum of buzz clicks to permit their association as a sequence [5].…”

Section: Introductionmentioning

confidence: 90%

Classification of odontocete buzz clicks using a multi-hypothesis tracker

2009

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Blainville's beaked whale (Mesoplodon densirostris) buzz clicks have been found to have characteristics that can vary significantly. While we have not succeeded to classify them individually, we find that their spectrum is very similar from one click to the next. In previous work, we showed that a multihypothesis tracker can be used to associate these clicks, and subsequently to classify the click sequence. This paper describes further tracker enhancements and shows improved performance results. Further, we find that the property of slowly varying buzz clicks spectrum is also true for other odontocete species, and apply our multi-hypothesis tracking algorithm to such data.

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“…Ces pistes correspondent à la présence de « buzz ». Plus de détails peuvent être trouvés dans les articles Gerard et al (2008b ;2008c). La figure 6 présente un zoom sur la piste générée sur le premier buzz de l'enregistrement (amplitude et ICI).…”

Section: Résultats Sur Un Fichier DCLunclassified

Détection et classification automatique de signaux acoustiques de baleines à bec

Gerard¹,

Carthel²,

Coraluppi³

2016

Traitement du signal

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Les baleines à bec sont difficiles à observer et font partie des espèces les plus sensibles au bruit anthropique. L'acoustique passive est donc un outil privilégié pour étudier ces espèces et minimiser l'impact du bruit. Cet article présente une méthode de reconnaissance automatique de signaux de baleines à bec, qui se décompose en trois étapes : la détection de transitoires, la classification individuelle d'un clic, et enfin l'association de clics en trains de clics, grâce à un tracker. L'association en trains de clics permet de renforcer la classification car un clic n'est pas émis seul. De plus les trains de clics ont des caractéristiques qui peuvent être typiques de l'espèce (l'intervalle entre les clics par exemple). Les résultats sur trois espèces de baleines à bec sont présentés : le mésoplodon de Blainville, la baleine à bec de Cuvier et le mésoplodon de Gervais. Les résultats obtenus sont très encourageants. ABSTRACT. Beaked whale are difficult to observe visually and are among the most sensitive species to anthropogenic noise. Thus passive acoustic monitoring is particularly interesting to study these species and mitigate noise impact. This paper presents the outline of an automatic recognition method of beaked whale signals. This method has three steps: a transient detector, individual click classification and click association in click trains using a multihypothesis tracker. Click train association enhances classification because a click is not emitted alone and click trains have properties that can be characteristic of a species (e.g. inter-click-interval). The results are presented for three species: Blainville's, Cuvier's and Gervais beaked whale. The results obtained are very encouraging.

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Analysis and classification of beaked whale buzz clicks

Cited by 3 publications

References 6 publications

Estimating the number of beaked whales using an MHT tracker

Estimating the number of beaked whales using an MHT tracker

Classification of odontocete buzz clicks using a multi-hypothesis tracker

Détection et classification automatique de signaux acoustiques de baleines à bec

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