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| Presentation | 2021-06-18 17:10 [Invited Talk] Spoken Dialogue System for Android ERICA -- A Multimodal Turing Test Challenge -- Koji Inoue (Kyoto Univ.)  SP2021-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | One of the major goals for artificial intelligence research is to realize machines (or robots) that can talk like human beings. Applying deep learning to spoken language processing has advanced its technology dramatically, with spoken dialogue systems being put to practical use in various situations and becoming more commonplace. However, since current dialogue systems are still rather mechanical and simple such as question and answering, it is hard to say that the systems have achieved "human-level deep conversation". In this talk, I introduce a research project involving autonomous android ERICA and its spoken dialogue system. The ultimate goal of this research project is to realize spoken dialogue comparable to that done by human beings. Firstly, I explain basic prediction models of backchannels and turn-taking to improve human-level dialogue. Then I describe the implementation and dialogue experiments for three specific spoken dialogue tasks: attentive listening, job interview, and laboratory guide. For attentive listening, a multimodal Turing test was conducted to compare the system with human listeners (Wizard-of-Oz). The results showed that the system achieved the same level of performance as humans in some basic aspects of attentive listening but currently is not at the level of deeper conversation. Finally, reviewing the challenges found in this project, future directions for research on spoken dialogue systems are proposed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Spoken dialogue system / Android / Turing test / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 66, SP2021-7, pp. 37-37, June 2021. | |
| Paper # | SP2021-7 | |
| Date of Issue | 2021-06-11 (SP) | |
| 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 | SP2021-7 |
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| Conference Information | |
| Committee | SP IPSJ-SLP IPSJ-MUS |
| Conference Date | 2021-06-18 - 2021-06-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | OTOGAKU Symposium 2021 |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2021-06-SP-SLP-MUS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spoken Dialogue System for Android ERICA |
| Sub Title (in English) | A Multimodal Turing Test Challenge |
| Keyword(1) | Spoken dialogue system |
| Keyword(2) | Android |
| Keyword(3) | Turing test |
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| 1st Author's Name | Koji Inoue |
| 1st Author's Affiliation | Kyoto University (Kyoto Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-06-18 17:10:00 |
| Presentation Time | 70 minutes |
| Registration for | SP |
| Paper # | SP2021-7 |
| Volume (vol) | vol.121 |
| Number (no) | no.66 |
| Page | p.37 |
| #Pages | 1 |
| Date of Issue | 2021-06-11 (SP) |
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