Intra-Group Orca Call Rate Modulation Estimation Using Compact Four Hydrophones Array

Author:

Poupard Marion,Symonds Helena,Spong Paul,Glotin Hervé

Abstract

Acoustic emissions are vital for orca (Orcinus orca) socializing, hunting, and maintaing spatial awareness. Studying the acoustic emissions of orcas on an individual basis often results in interference with their natural behaviors through mounting tags or following by boat. In order to analyze their inter- and intra-group communication, we propose a study allowing us to associate vocalizations with their emitter (matriline and when possible individual). Such a non-interfering device for allocating calls to individual orcas could substantially boost our understanding of their complex acoustic world. Our experimental protocol was based on a compact array of four hydrophones fixed near the shore, operable up to 1 km away from the path of orcas. It was used during summer 2019 at the research station OrcaLab, northern Vancouver Island, Canada. A total of 722 calls were extracted, jointly with visual identification and azimuth of surfacing orcas, allowing validation of the acoustic diarization and azimuth estimations of the orca calls. We then calculated the Call Rate (CR) for each matriline or when possible individual in order to describe their acoustic activity. Preliminary results show that CR could be modulated according to the distance of the signaler from a group, the presence of another group, or anthropic pressure.

Funder

Agence Nationale de la Recherche

Bpifrance

Annenberg Foundation

Publisher

Frontiers Media SA

Subject

Ocean Engineering,Water Science and Technology,Aquatic Science,Global and Planetary Change,Oceanography

Reference45 articles.

1. Best practice guidelines for cetacean tagging;Andrews;J. Cetacean Res. Manage,2019

2. Acoustic behavior of Orcinus: sequences, periodicity, behavioral correlates and an automated technique for call classification;Bain;Behav. Biol. Killer Whales,1986

3. A novel low-power high speed accurate and precise DAQ with embedded artificial intelligence for long term biodiversity survey,;Barchasz,2020

4. Whale 3D monitoring using astrophysic nemo onde two meters wide platform with state optimal filtering by rao-blackwell monte carlo data association;Bénard-Caudal;Appl. Acoust,2010

5. Orca-spot: an automatic killer whale sound detection toolkit using deep learning;Bergler;Sci. Rep,2019

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3