Paper Abstract and Keywords |
Presentation |
2015-08-21 15:05
Spoken Term Detection based on Phoneme Error Pattern Training using DNN Naoki Sawada, Hiromitsu Nishizaki (Univ. of Yamanashi) SP2015-56 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This report describes a novel spoken term detection framework based on a Deep Neural Network (DNN)-based correct phoneme estimation from phoneme sequences outputted by multiple automatic speech recognition (ASR) systems. Recently, a phoneme estimation (recognition) is generally performed by using a DNN that outputs posterior probabilities for phonemes when acoustic feature parameters are inputted to the DNN. Different from the typical DNN estimation, our DNN-based phoneme estimation approach is to use output patterns of phonemes by multiple ASR systems as input features to DNN. The characteristic of our method enables more improvement of the ASR performance of a start-of-the-art DNN-Hidden Markov Model-based ASR system because our method uses a perfectly different type of the input features to a DNN. The DNN-based correct phoneme estimator was applied to the STD tasks. Experimental results showed that the DNN-based approach achieved improvement of the STD performance compared with the one based on the confidential random field (CRF)-based STD approach we have already proposed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
correct phoneme estimation / deep neraul network / spoken term detection / verification / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 184, SP2015-56, pp. 33-38, Aug. 2015. |
Paper # |
SP2015-56 |
Date of Issue |
2015-08-14 (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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SP2015-56 |
Conference Information |
Committee |
SP |
Conference Date |
2015-08-21 - 2015-08-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Iwate Prefectural Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Spoken document processing, etc. |
Paper Information |
Registration To |
SP |
Conference Code |
2015-08-SP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Spoken Term Detection based on Phoneme Error Pattern Training using DNN |
Sub Title (in English) |
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Keyword(1) |
correct phoneme estimation |
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deep neraul network |
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spoken term detection |
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verification |
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1st Author's Name |
Naoki Sawada |
1st Author's Affiliation |
University of Yamanashi (Univ. of Yamanashi) |
2nd Author's Name |
Hiromitsu Nishizaki |
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University of Yamanashi (Univ. of Yamanashi) |
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Speaker |
Author-1 |
Date Time |
2015-08-21 15:05:00 |
Presentation Time |
25 minutes |
Registration for |
SP |
Paper # |
SP2015-56 |
Volume (vol) |
vol.115 |
Number (no) |
no.184 |
Page |
pp.33-38 |
#Pages |
6 |
Date of Issue |
2015-08-14 (SP) |
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