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Paper Abstract and Keywords
Presentation 2026-07-13 14:00
Using Hydrophone for Distributed Acoustic Sensor in Whale Call Detection
Noriyuki Tonami, Wataru Kohno (NEC), Yuki Okamoto (UoT), Yumi Arai, Tomoyuki Hino (NEC) US2026-20 EA2026-10
Abstract (in Japanese) (See Japanese page) 
(in English) Whale call detection plays a crucial role in monitoring marine ecosystems and biodiversity.
While hydrophone-based passive acoustic monitoring has been extensively studied, whale call detection using distributed acoustic sensing (DAS) remains underexplored due to the scarcity of publicly available labeled datasets.
This limitation poses a significant challenge for developing data-driven models tailored to DAS signals.
In this paper, we propose a training-less knowledge transfer framework that enables whale call detection in DAS data by leveraging models trained on hydrophone recordings.
The proposed method addresses the domain gap between hydrophone and DAS observations without requiring any retraining or labeled DAS data.
By compensating for discrepancies in signal characteristics, the framework allows direct application of hydrophone-trained detectors to DAS measurements.
Experimental results demonstrate that the proposed method significantly improves detection performance, achieving an F-score gain of 42.74 percentage points compared to a baseline approach that directly applies a hydrophone-trained model to DAS data.
These findings highlight the effectiveness of training-less domain adaptation for cross-sensor acoustic analysis and support the practical use of DAS for large-scale marine monitoring.
Keyword (in Japanese) (See Japanese page) 
(in English) Distributed Acoustic Sensing / Whale Call Detection / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 106, EA2026-10, pp. 21-26, July 2026.
Paper # EA2026-10 
Date of Issue 2026-07-06 (US, EA) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF US2026-20 EA2026-10

Conference Information
Committee EA US ASJ-H  
Conference Date 2026-07-13 - 2026-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To EA 
Conference Code 2026-07-EA-US-H 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Using Hydrophone for Distributed Acoustic Sensor in Whale Call Detection 
Sub Title (in English)  
Keyword(1) Distributed Acoustic Sensing  
Keyword(2) Whale Call Detection  
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1st Author's Name Noriyuki Tonami  
1st Author's Affiliation NEC (NEC)
2nd Author's Name Wataru Kohno  
2nd Author's Affiliation NEC (NEC)
3rd Author's Name Yuki Okamoto  
3rd Author's Affiliation The University of Tokyo (UoT)
4th Author's Name Yumi Arai  
4th Author's Affiliation NEC (NEC)
5th Author's Name Tomoyuki Hino  
5th Author's Affiliation NEC (NEC)
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Speaker Author-1 
Date Time 2026-07-13 14:00:00 
Presentation Time 25 minutes 
Registration for EA 
Paper # US2026-20, EA2026-10 
Volume (vol) vol.126 
Number (no) no.105(US), no.106(EA) 
Page pp.21-26 
#Pages 6 
Date of Issue 2026-07-06 (US, EA) 

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