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| Presentation | 2020-03-03 09:00 LARGE-CONTEXT POINTER-GENERATOR NETWORKS FOR SPOKEN-TO-WRITTEN STYLE CONVERSION Mana Ihori, Akihiko Takashima, Ryo Masumura (NTT)  EA2019-142 SIP2019-144 SP2019-91 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper introduces a spoken-to-written style conversion method that is suitable for handling a series of text such as discourses and conversation. This method aims to improve readability of spoken-style text by converting the text into written-style text. Unlike conventional methods, this method is able to utilize not only source spoken-style text information but also all preceding written-style text information for estimating target written-style text. In addition, we propose a large-context copy mechanism that can copy tokens from current spoken-style text and just one preceding written-style text. Experimental results show our proposed networks effectively improve spoken-to-written style conversion performance and clearly decrease number of substitution errors compared with conventional methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | spoken-to-written style conversion / large-context pointer-generator networks / autmatic speech recognition / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 441, SP2019-91, pp. 237-242, March 2020. | |
| Paper # | SP2019-91 | |
| Date of Issue | 2020-02-24 (EA, SIP, SP) | |
| 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) | |
| Download PDF | EA2019-142 SIP2019-144 SP2019-91 |
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| Conference Information | |
| Committee | SP EA SIP |
| Conference Date | 2020-03-02 - 2020-03-03 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Industry Support Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2020-03-SP-EA-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | LARGE-CONTEXT POINTER-GENERATOR NETWORKS FOR SPOKEN-TO-WRITTEN STYLE CONVERSION |
| Sub Title (in English) | |
| Keyword(1) | spoken-to-written style conversion |
| Keyword(2) | large-context pointer-generator networks |
| Keyword(3) | autmatic speech recognition |
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| 1st Author's Name | Mana Ihori |
| 1st Author's Affiliation | NTT Corporation (NTT) |
| 2nd Author's Name | Akihiko Takashima |
| 2nd Author's Affiliation | NTT Corporation (NTT) |
| 3rd Author's Name | Ryo Masumura |
| 3rd Author's Affiliation | NTT Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2020-03-03 09:00:00 |
| Presentation Time | 90 minutes |
| Registration for | SP |
| Paper # | EA2019-142, SIP2019-144, SP2019-91 |
| Volume (vol) | vol.119 |
| Number (no) | no.439(EA), no.440(SIP), no.441(SP) |
| Page | pp.237-242 |
| #Pages | 6 |
| Date of Issue | 2020-02-24 (EA, SIP, SP) |
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