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| Presentation | 2014-05-24 11:30 Native language recognition using machine learning Ryota Sakagami, Kouki Takeshita, Longbiao Wang, Masahiro Iwahashi (Nagaoka Univ. of Tech)  SP2014-13 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The difference in pronunciation occurs in a non-native speaker and a native speaker. Therefore, communication is difficult. In such a case, I would like to use speech recognition technology in research. It requires distinction of a native language. It is because suitable speech recognition is possible if a native language is known. However, there is a problem. It is the reverberation by actual environment. Therefore, the utterance sound to which reverberation was attached is used. First, the GMM model was created with the utterance sound to which reverberation was attached. The model distinguishes the native language of the sound to which reverberation was attached. When all the results were averaged, it became a distinction rate of about 85%. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | machine learning / GMM / acoustic model / Classification of the native language / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 52, SP2014-13, pp. 139-141, May 2014. | |
| Paper # | SP2014-13 | |
| Date of Issue | 2014-05-17 (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 | SP2014-13 |
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| Conference Information | |
| Committee | SP IPSJ-MUS |
| Conference Date | 2014-05-24 - 2014-05-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2014-05-SP-MUS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Native language recognition using machine learning |
| Sub Title (in English) | |
| Keyword(1) | machine learning |
| Keyword(2) | GMM |
| Keyword(3) | acoustic model |
| Keyword(4) | Classification of the native language |
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| 1st Author's Name | Ryota Sakagami |
| 1st Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech) |
| 2nd Author's Name | Kouki Takeshita |
| 2nd Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech) |
| 3rd Author's Name | Longbiao Wang |
| 3rd Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech) |
| 4th Author's Name | Masahiro Iwahashi |
| 4th Author's Affiliation | Nagaoka University of Technology (Nagaoka Univ. of Tech) |
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| Speaker | Author-1 |
| Date Time | 2014-05-24 11:30:00 |
| Presentation Time | 240 minutes |
| Registration for | SP |
| Paper # | SP2014-13 |
| Volume (vol) | vol.114 |
| Number (no) | no.52 |
| Page | pp.139-141 |
| #Pages | 3 |
| Date of Issue | 2014-05-17 (SP) |
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