Paper Abstract and Keywords |
Presentation |
2008-03-20 11:00
[Invited Talk]
Robust Speech Recognition Based on Structured Modeling, Irrelevant Variability Normalization and Unsupervised Online Adaptation Qiang Huo (Microsoft Research Asia) SP2007-186 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the past several years, we've been studying several approaches to robust automatic speech recognition (ASR) based on three key concepts, namely structured modeling, irrelevant variability normalization (IVN) and unsupervised online adaptation (OLA). In structured modeling of basic speech units, speech information relevant to phonetic classification is modeled by traditional hidden Markov models (HMMs), while factors irrelevant to phonetic classification are taken care of by an auxiliary module. An IVN-based training procedure can then be designed to estimate parameters of the generic HMMs and the auxiliary module from a large amount of diversified training data. In recognition stage, the parameters of the auxiliary module can be updated via unsupervised OLA by using the unknown utterance itself, which is recognized again to achieve a better performance by using the compensated models composed from the generic HMMs and the adapted auxiliary module. In this talk, I will explain the above key concepts and methodology, and elaborate on several robust ASR techniques thereof, which have achieved the state-of-the-art performance over the years on both Aurora2 and Aurora3 tasks. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
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Reference Info. |
IEICE Tech. Rep., vol. 107, no. 551, SP2007-186, pp. 3-4, March 2008. |
Paper # |
SP2007-186 |
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) |
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SP2007-186 |
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) |
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(See Japanese page) |
Title (in English) |
Robust Speech Recognition Based on Structured Modeling, Irrelevant Variability Normalization and Unsupervised Online Adaptation |
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Qiang Huo |
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Microsoft Research Asia (Microsoft Research Asia) |
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Speaker |
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Date Time |
2008-03-20 11:00:00 |
Presentation Time |
60 minutes |
Registration for |
SP |
Paper # |
SP2007-186 |
Volume (vol) |
vol.107 |
Number (no) |
no.551 |
Page |
pp.3-4 |
#Pages |
2 |
Date of Issue |
2008-03-13 (SP) |
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