Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/90744
Title: Speech recognition using adaptively boosted classifier
Authors: Foo, Say Wei
Lim, Eng Guan
Issue Date: 2003
Source: Foo, S. W., & Lim, E. G. (2003). Speech recognition using adaptively boosted classifier. Proceedings of IEEE Region 10 International Conference on TENCON, 442-446.
Abstract: 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.
URI: https://hdl.handle.net/10356/90744
http://hdl.handle.net/10220/4612
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