Presentation 2022-03-03
Designing a Brain Reference Architecture for Double Articulation Analyzer of Spoken Language
Maoko Muro, Akira Taniguchi, Hiroshi Yamakawa, Tadahiro Taniguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Spoken Language Processing / Double Articulation Analyzer, / Brain Reference Architecture / Probabilistic Generative Model
Paper # NC2021-64
Date of Issue 2022-02-23 (NC)

Conference Information
Committee MBE / NC
Conference Date 2022/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.)
Vice Chair Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo)
Secretary Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR)
Assistant Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
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
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)
Date 2022-03-03
Paper # NC2021-64
Volume (vol) vol.121
Number (no) NC-390
Page pp.pp.94-99(NC),
#Pages 6
Date of Issue 2022-02-23 (NC)