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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NC2021-64 |
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) |
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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 |
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Keyword(1) |
Spoken Language Processing |
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Double Articulation Analyzer, |
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Brain Reference Architecture |
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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 |
6 |
Date of Issue |
2022-02-23 (NC) |
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