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Paper Abstract and Keywords
Presentation 2026-03-17 16:35
Hardware-Oriented Output Layer Architecture for SNN-based Sound Source Localization and Evaluation under Reverberant Environments
Yuhei Kobayashi, Masahiro Iida (Kumamoto Univ.) NC2025-113
Abstract (in Japanese) (See Japanese page) 
(in English) Aiming for implementation on edge devices, this study seeks to construct a system that completes the entire process of time-series data from learning to inference exclusively within a Spiking Neural Network (SNN). Using sound source localization as an evaluation task, we propose an architecture that integrates multiple network structures with different roles to execute direction-finding entirely on the SNN, and investigate its practical utility. For the input layer, the Lindemann model, which mimics the central auditory system, is adopted to convert acoustic signals into spike trains considering the interaural time difference. Simulation evaluations were conducted in both an anechoic environment and a simulated indoor environment accounting for wall reverberations. The results demonstrated that under anechoic conditions, the system could classify 21 directions with an accuracy of 76%. On the other hand, in the reverberant environment, while it maintained a 76% accuracy when targets were limited to 7 directions, the accuracy significantly dropped to 25% for 21 directions.
Keyword (in Japanese) (See Japanese page) 
(in English) SNN / sound source localization / Lindemann / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 413, NC2025-113, pp. 118-123, March 2026.
Paper # NC2025-113 
Date of Issue 2026-03-09 (NC) 
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 NC2025-113

Conference Information
Committee NC MBE  
Conference Date 2026-03-16 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) The University of Tokyo 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NC 
Conference Code 2026-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hardware-Oriented Output Layer Architecture for SNN-based Sound Source Localization and Evaluation under Reverberant Environments 
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Keyword(1) SNN  
Keyword(2) sound source localization  
Keyword(3) Lindemann  
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1st Author's Name Yuhei Kobayashi  
1st Author's Affiliation Kumamoto University (Kumamoto Univ.)
2nd Author's Name Masahiro Iida  
2nd Author's Affiliation Kumamoto University (Kumamoto Univ.)
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Speaker Author-1 
Date Time 2026-03-17 16:35:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2025-113 
Volume (vol) vol.125 
Number (no) no.413 
Page pp.118-123 
#Pages 6 
Date of Issue 2026-03-09 (NC) 

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