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| Presentation | 2014-10-24 14:20 [Invited Talk] Speech enhancement techniques in multi-speaker spontaneous speech recognition for conversation scene analysis Shoko Araki, Takaaki Hori, Tomohiro Nakatani (NTT)  EA2014-25 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper illustrates speech enhancement techniques for multi-speaker distant-talk speech recognition, where a conversation scene analysis is adopted as a test scenario. Our speech enhancement techniques include dereverberation, speech separation, and noise suppression. Because some of our techniques employ both the spatial information of speech sources and the speech spectrum information, their output signals become suitable for the input of a speech recognizer. We report the latest speech enhancement techniques and their speech recognition performance in a real conversation. Moreover, the effect of deep learning in multi-speaker speech recognition is also discussed. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Conversation scene analysis / dereverberation / speech separation / noise suppression / speech recognition with DNN-HMM / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 274, EA2014-25, pp. 9-14, Oct. 2014. | |
| Paper # | EA2014-25 | |
| Date of Issue | 2014-10-17 (EA) | |
| 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 | EA2014-25 |
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| Conference Information | |
| Committee | EA |
| Conference Date | 2014-10-24 - 2014-10-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Central Research Laboratory, Hitachi, Ltd. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EA |
| Conference Code | 2014-10-EA |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Speech enhancement techniques in multi-speaker spontaneous speech recognition for conversation scene analysis |
| Sub Title (in English) | |
| Keyword(1) | Conversation scene analysis |
| Keyword(2) | dereverberation |
| Keyword(3) | speech separation |
| Keyword(4) | noise suppression |
| Keyword(5) | speech recognition with DNN-HMM |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shoko Araki |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name | Takaaki Hori |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name | Tomohiro Nakatani |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker | Author-1 |
| Date Time | 2014-10-24 14:20:00 |
| Presentation Time | 40 minutes |
| Registration for | EA |
| Paper # | EA2014-25 |
| Volume (vol) | vol.114 |
| Number (no) | no.274 |
| Page | pp.9-14 |
| #Pages | 6 |
| Date of Issue | 2014-10-17 (EA) |
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