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| Presentation | 2022-06-17 13:00 A Study of Speech Recognition Result Correction Using BERT for Speech Translation Tadashi Ogura, Masakiyo Fujimoto, Peng Shen, Xugang Lu, Hisashi Kawai (NICT)  SP2022-4 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Speech translation (ST) technology consists of automatic speech recognition (ASR) and machine translation technologies. Since ASR is the first module to be processed in ST, improving ASR performance is a critical factor in ST. However, it is difficult to solve this problem by pursuing only improvement of ASR performance, and error correction processing for ASR results is strongly required. Therefore, in this paper, we propose an error correction method for ASR results to improve ST performance using the state-of-the-art huge scale language model, BERT. The proposed method realizes context-aware error correction for ASR results, and successfully improves the accuracy of ST by reducing misunderstandings of “meaning" and "intention" of utterances. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | BERT / Spech Translation / Error Correction / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 81, SP2022-4, pp. 10-13, June 2022. | |
| Paper # | SP2022-4 | |
| Date of Issue | 2022-06-10 (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 | SP2022-4 |
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| Conference Information | |
| Committee | SP IPSJ-MUS IPSJ-SLP |
| Conference Date | 2022-06-17 - 2022-06-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2022-06-SP-MUS-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study of Speech Recognition Result Correction Using BERT for Speech Translation |
| Sub Title (in English) | |
| Keyword(1) | BERT |
| Keyword(2) | Spech Translation |
| Keyword(3) | Error Correction |
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| Keyword(8) | |
| 1st Author's Name | Tadashi Ogura |
| 1st Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 2nd Author's Name | Masakiyo Fujimoto |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 3rd Author's Name | Peng Shen |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 4th Author's Name | Xugang Lu |
| 4th Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
| 5th Author's Name | Hisashi Kawai |
| 5th Author's Affiliation | National Institute of Information and Communications Technology (NICT) |
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| Speaker | Author-1 |
| Date Time | 2022-06-17 13:00:00 |
| Presentation Time | 120 minutes |
| Registration for | SP |
| Paper # | SP2022-4 |
| Volume (vol) | vol.122 |
| Number (no) | no.81 |
| Page | pp.10-13 |
| #Pages | 4 |
| Date of Issue | 2022-06-10 (SP) |
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