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| Presentation | 2012-07-21 10:00 Acoustic model adaptation choosing static and dynamic streams in noisy environments Satoshi Tamura, Satoru Hayamizu (Gifu Univ.)  SP2012-56 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, an acoustic model adaptation method based on multi streams is proposed for speech recognition in noisy or real environments. At first, an acoustic feature vector is divided into several vectors (e.g. static, first-order and second-order dynamic vectors), namely streams. Second, the order of streams is determined according to accuracies of pre-recognition results. While adaptation, a stream performing the highest recognition performance is updated for the stream only. Alternatively, a stream is adapted using all the streams that are superior to the stream. In order to evaluate the proposed technique, recognition and adaptation experiments were conducted using a corpus CENSREC-1. Pre-recognition results show dynamic features are more robust to noise than static parameters. And through adaptation experiments it is found that our proposed method achieved the best performance compared to conventional acoustic feature and its streams. These results show the effectiveness of our proposed adaptation scheme. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | speech recognition in noisy condition / multi stream / model adaptation / MAP / MLLR / CENSREC / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 141, SP2012-56, pp. 33-38, July 2012. | |
| Paper # | SP2012-56 | |
| Date of Issue | 2012-07-12 (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 | SP2012-56 |
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| Conference Information | |
| Committee | SP IPSJ-SLP |
| Conference Date | 2012-07-19 - 2012-07-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Takinoyu (Yamagata Pref.) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech recognition, understanding, dialog, etc. |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2012-07-SP-SLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Acoustic model adaptation choosing static and dynamic streams in noisy environments |
| Sub Title (in English) | |
| Keyword(1) | speech recognition in noisy condition |
| Keyword(2) | multi stream |
| Keyword(3) | model adaptation |
| Keyword(4) | MAP |
| Keyword(5) | MLLR |
| Keyword(6) | CENSREC |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Satoshi Tamura |
| 1st Author's Affiliation | Gifu University (Gifu Univ.) |
| 2nd Author's Name | Satoru Hayamizu |
| 2nd Author's Affiliation | Gifu University (Gifu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2012-07-21 10:00:00 |
| Presentation Time | 30 minutes |
| Registration for | SP |
| Paper # | SP2012-56 |
| Volume (vol) | vol.112 |
| Number (no) | no.141 |
| Page | pp.33-38 |
| #Pages | 6 |
| Date of Issue | 2012-07-12 (SP) |
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