Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone

An important but challenging task is to extract information on the location and/or number of marine mammals present given recordings from an array of hydrophones. Systems such as the marine mammal monitoring on Navy Ranges (M3R) attempt to localize marine mammals as well as to get an estimate of the...

Full description

Bibliographic Details
Main Authors: Halkias, Xanadu C., Ellis, Daniel P. W.
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2006
Subjects:
Online Access:https://doi.org/10.7916/D88342FQ
id ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D88342FQ
record_format openpolar
spelling ftcolumbiauniv:oai:academiccommons.columbia.edu:10.7916/D88342FQ 2023-05-15T17:10:16+02:00 Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone Halkias, Xanadu C. Ellis, Daniel P. W. 2006 https://doi.org/10.7916/D88342FQ English eng IEEE https://doi.org/10.7916/D88342FQ Electrical engineering Articles 2006 ftcolumbiauniv https://doi.org/10.7916/D88342FQ 2019-04-04T08:07:51Z An important but challenging task is to extract information on the location and/or number of marine mammals present given recordings from an array of hydrophones. Systems such as the marine mammal monitoring on Navy Ranges (M3R) attempt to localize marine mammals as well as to get an estimate of their number using cross-correlation techniques on all available hydrophones. Our methodology offers the possibility to extract an estimate of the number of marine mammals given recordings from a single hydrophone, thus providing information to a researcher who does not have access to a larger array. The algorithm is based on three steps: detection of the clicks in the spectrogram using their energy, extraction of meaningful features, such as cepstral coefficients that are descriptive of the detected calls, and, lastly, choosing the appropriate number of clusters when using spectral clustering through the maximization of a given metric. The chosen number of clusters that best represents the data is an estimate of marine mammals present in the area. Informal analysis of the clustered clicks from example recordings shows that they are a good fit of the data, although a formal evaluation would require additional ground-truth. The algorithm was performed on several hydrophones in order to obtain some cross-validation of our results. Finally, the clusters were tracked in time using KL divergence. This algorithm could provide a first approximation on the number of vocalizing marine mammals using only one hydrophone. Article in Journal/Newspaper Marine Mammal Monitoring Columbia University: Academic Commons
institution Open Polar
collection Columbia University: Academic Commons
op_collection_id ftcolumbiauniv
language English
topic Electrical engineering
spellingShingle Electrical engineering
Halkias, Xanadu C.
Ellis, Daniel P. W.
Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
topic_facet Electrical engineering
description An important but challenging task is to extract information on the location and/or number of marine mammals present given recordings from an array of hydrophones. Systems such as the marine mammal monitoring on Navy Ranges (M3R) attempt to localize marine mammals as well as to get an estimate of their number using cross-correlation techniques on all available hydrophones. Our methodology offers the possibility to extract an estimate of the number of marine mammals given recordings from a single hydrophone, thus providing information to a researcher who does not have access to a larger array. The algorithm is based on three steps: detection of the clicks in the spectrogram using their energy, extraction of meaningful features, such as cepstral coefficients that are descriptive of the detected calls, and, lastly, choosing the appropriate number of clusters when using spectral clustering through the maximization of a given metric. The chosen number of clusters that best represents the data is an estimate of marine mammals present in the area. Informal analysis of the clustered clicks from example recordings shows that they are a good fit of the data, although a formal evaluation would require additional ground-truth. The algorithm was performed on several hydrophones in order to obtain some cross-validation of our results. Finally, the clusters were tracked in time using KL divergence. This algorithm could provide a first approximation on the number of vocalizing marine mammals using only one hydrophone.
format Article in Journal/Newspaper
author Halkias, Xanadu C.
Ellis, Daniel P. W.
author_facet Halkias, Xanadu C.
Ellis, Daniel P. W.
author_sort Halkias, Xanadu C.
title Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
title_short Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
title_full Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
title_fullStr Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
title_full_unstemmed Estimating the Number of Marine Mammals Using Recordings of Clicks from One Microphone
title_sort estimating the number of marine mammals using recordings of clicks from one microphone
publisher IEEE
publishDate 2006
url https://doi.org/10.7916/D88342FQ
genre Marine Mammal Monitoring
genre_facet Marine Mammal Monitoring
op_relation https://doi.org/10.7916/D88342FQ
op_doi https://doi.org/10.7916/D88342FQ
_version_ 1766066834821349376