Speech recognition using adaptively boosted classifier

Speech recognition using adaptively boosted classifier

In this paper, a novel approach for speaker recognition is proposed. The system makes use of adaptive boosting (AdaBoost)and multilayer perceptions (MLP) as classifier for closed set, text-dependent speaker recognition. The performance of the systems is assessed using a subset of 20 speakers, 10 mal...

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Main Authors: Foo, Say Wei, Lim, Eng Guan
Other Authors: International Conference on Electrical and Electronic Technology (2001)
Format: Conference or Workshop Item
Language:English
Published: 2009
Online Access:https://hdl.handle.net/10356/90744
http://hdl.handle.net/10220/4612
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-907442019-12-06T17:53:10Z Speech recognition using adaptively boosted classifier Foo, Say Wei Lim, Eng Guan International Conference on Electrical and Electronic Technology (2001) In this paper, a novel approach for speaker recognition is proposed. The system makes use of adaptive boosting (AdaBoost)and multilayer perceptions (MLP) as classifier for closed set, text-dependent speaker recognition. The performance of the systems is assessed using a subset of 20 speakers, 10 male and 10 female, drawn from the YOHO speaker verification corpus. Results show that improvement in accuracy of recognition can be achieved through adaptive boosting of the classifier. Published version 2009-05-22T08:35:44Z 2019-12-06T17:53:10Z 2009-05-22T08:35:44Z 2019-12-06T17:53:10Z 2003 2003 Conference Paper Foo, S. W., & Lim, E. G. (2003). Speech recognition using adaptively boosted classifier. Proceedings of IEEE Region 10 International Conference on TENCON, 442-446. https://hdl.handle.net/10356/90744 http://hdl.handle.net/10220/4612 en © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper, a novel approach for speaker recognition is proposed. The system makes use of adaptive boosting (AdaBoost)and multilayer perceptions (MLP) as classifier for closed set, text-dependent speaker recognition. The performance of the systems is assessed using a subset of 20 speakers, 10 male and 10 female, drawn from the YOHO speaker verification corpus. Results show that improvement in accuracy of recognition can be achieved through adaptive boosting of the classifier.
author2 International Conference on Electrical and Electronic Technology (2001)
author_facet International Conference on Electrical and Electronic Technology (2001)
Foo, Say Wei
Lim, Eng Guan
format Conference or Workshop Item
author Foo, Say Wei
Lim, Eng Guan
spellingShingle Foo, Say Wei
Lim, Eng Guan
Speech recognition using adaptively boosted classifier
author_sort Foo, Say Wei
title Speech recognition using adaptively boosted classifier
title_short Speech recognition using adaptively boosted classifier
title_full Speech recognition using adaptively boosted classifier
title_fullStr Speech recognition using adaptively boosted classifier
title_full_unstemmed Speech recognition using adaptively boosted classifier
title_sort speech recognition using adaptively boosted classifier
publishDate 2009
url https://hdl.handle.net/10356/90744
http://hdl.handle.net/10220/4612
_version_ 1681040605802659840

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