Paper Abstract and Keywords |
Presentation |
2008-03-20 15:15
[Poster Presentation]
Efficient Discriminative Training of Error Corrective Models Using High-WER Competitors Takanobu Oba, Takaaki Hori, Atsushi Nakamura (NTT) SP2007-203 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We focus on error corrective models for speech recognition, which select a more accurate word sequence in a word N-best list produced by a speech recognizer. In general, an error corrective model is trained so that the correct word sequence is discriminated by the model from all the sequences in each N-best list. However, we show that a more accurate model can be provided through the discrimination of only two word sequences; one is the correct word sequence and the other is the sequence with the highest word error rate (WER) in the list. We think there are two reasons for this effect: (1) many important error patterns can be obtained since typical errors frequently appear in the word sequences with high WERs, and (2) training with fewer word sequences alleviates the difficulty of parameter estimation. In addition, the model size becomes more compact and the training time is significantly reduced with our method. Experiments using the Corpus of Spontaneous Japanese (CSJ) show that our proposed method generates accurate and compact models, and specifically performs robustly for different tasks and linguistic features. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
error corrective model / high-WER competitors / / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 551, SP2007-203, pp. 99-104, March 2008. |
Paper # |
SP2007-203 |
Date of Issue |
2008-03-13 (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 |
SP2007-203 |
Conference Information |
Committee |
SP |
Conference Date |
2008-03-20 - 2008-03-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Univ. Tokyo |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
International Workshop (Mar 20), Speech Production, Speech Perception, Hearing and Speech, etc. (Mar 21) |
Paper Information |
Registration To |
SP |
Conference Code |
2008-03-SP |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Efficient Discriminative Training of Error Corrective Models Using High-WER Competitors |
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error corrective model |
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high-WER competitors |
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1st Author's Name |
Takanobu Oba |
1st Author's Affiliation |
NTT Communication Science Labs, NTT Corporation (NTT) |
2nd Author's Name |
Takaaki Hori |
2nd Author's Affiliation |
NTT Communication Science Labs, NTT Corporation (NTT) |
3rd Author's Name |
Atsushi Nakamura |
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NTT Communication Science Labs, NTT Corporation (NTT) |
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Speaker |
Author-1 |
Date Time |
2008-03-20 15:15:00 |
Presentation Time |
90 minutes |
Registration for |
SP |
Paper # |
SP2007-203 |
Volume (vol) |
vol.107 |
Number (no) |
no.551 |
Page |
pp.99-104 |
#Pages |
6 |
Date of Issue |
2008-03-13 (SP) |
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