Paper Abstract and Keywords |
Presentation |
2020-01-26 13:40
Unsupervised Double Articulation of Natural Speech in a Video Game Environment
-- Toward a Constructive Understanding of Language Acquisition -- Kotaro Yamaguchi, Natsuki Oka (KIT), Tadahiro Taniguchi (Ritsumeikan Univ.) HCS2019-76 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
It is considered that infants have the ability to double articulation analysis (to segment into phonemes and words) unsupervisedly by listening to their native language utterances. In this study, we attempt unsupervised double segmentation of natural speech in a video game environment. Until now, it has been shown that the double articulation analysis of speech utterance consisting of a limited vocabulary that is clearly spoken can be realized engineeringly (Taniguchi, Nagasaka, & Nakashima, 2016). In this study, we attempt unsupervised double segmentation of natural speech in a video game environment. At the same time, we test the possibility of learning segmented words using simplified Q-learning that deals only with rewards without delay. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Unsupervised double articulation / Language acquisition / Reinforcement learning / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 394, HCS2019-76, pp. 129-134, Jan. 2020. |
Paper # |
HCS2019-76 |
Date of Issue |
2020-01-18 (HCS) |
ISSN |
Print edition: ISSN 0913-5685 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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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HCS2019-76 |
Conference Information |
Committee |
HCS |
Conference Date |
2020-01-25 - 2020-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Room407, J:COM HorutoHall OITA (Oita) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Psychology and Life-stage of Communication, etc. |
Paper Information |
Registration To |
HCS |
Conference Code |
2020-01-HCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Unsupervised Double Articulation of Natural Speech in a Video Game Environment |
Sub Title (in English) |
Toward a Constructive Understanding of Language Acquisition |
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Unsupervised double articulation |
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Language acquisition |
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Reinforcement learning |
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1st Author's Name |
Kotaro Yamaguchi |
1st Author's Affiliation |
Kyoto Institute of Technology (KIT) |
2nd Author's Name |
Natsuki Oka |
2nd Author's Affiliation |
Kyoto Institute of Technology (KIT) |
3rd Author's Name |
Tadahiro Taniguchi |
3rd Author's Affiliation |
Ritsumeikan University (Ritsumeikan Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-01-26 13:40:00 |
Presentation Time |
20 minutes |
Registration for |
HCS |
Paper # |
HCS2019-76 |
Volume (vol) |
vol.119 |
Number (no) |
no.394 |
Page |
pp.129-134 |
#Pages |
6 |
Date of Issue |
2020-01-18 (HCS) |
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