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Paper Abstract and Keywords
Presentation 2022-03-03 14:40
Designing a Brain Reference Architecture for Double Articulation Analyzer of Spoken Language
Maoko Muro, Akira Taniguchi (Ritsumeikan), Hiroshi Yamakawa (WBAI/UTokyo/RIKEN), Tadahiro Taniguchi (Ritsumeikan) NC2021-64
Abstract (in Japanese) (See Japanese page) 
(in English) In human spoken language, words are connected to form a sentence, and words are composed of phonemes or syllables. This hierarchy structure is a double articulation structure. Here, the function of analyzing the double articulation structure is called double articulation analysis. The human brain has a function to analyze the double articulation structure. However, existing methods of spoken language acquisition using a double articulation analyzer are not designed with reference to brain circuitry. This study proposed a probabilistic graphical model as a double articulation analysis hypothesis that can be realized in the brain based on many neuroscience surveys. We performed the following procedure: (i) investigated and organized anatomical structures related to spoken language processing, (ii) identified brain regions that enable dual articulation analysis, and (iii) designed a probabilistic graphical model that matches the anatomy and functions of the region-of-interest.
Keyword (in Japanese) (See Japanese page) 
(in English) Spoken Language Processing / Double Articulation Analyzer, / Brain Reference Architecture / Probabilistic Generative Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 390, NC2021-64, pp. 94-99, March 2022.
Paper # NC2021-64 
Date of Issue 2022-02-23 (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)
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Conference Information
Committee MBE NC  
Conference Date 2022-03-02 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2022-03-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Designing a Brain Reference Architecture for Double Articulation Analyzer of Spoken Language 
Sub Title (in English)  
Keyword(1) Spoken Language Processing  
Keyword(2) Double Articulation Analyzer,  
Keyword(3) Brain Reference Architecture  
Keyword(4) Probabilistic Generative Model  
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1st Author's Name Maoko Muro  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan)
2nd Author's Name Akira Taniguchi  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan)
3rd Author's Name Hiroshi Yamakawa  
3rd Author's Affiliation Whole Brain Architecture Initiative/The University of Tokyo/Institute of Physical and Chemical Research (WBAI/UTokyo/RIKEN)
4th Author's Name Tadahiro Taniguchi  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan)
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Speaker Author-1 
Date Time 2022-03-03 14:40:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2021-64 
Volume (vol) vol.121 
Number (no) no.390 
Page pp.94-99 
#Pages
Date of Issue 2022-02-23 (NC) 


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