Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79870
Title: Speaker recognition using adaptively boosted decision tree classifier
Authors: Foo, Say Wei
Lim, Eng Guan
Issue Date: 2002
Source: Foo, S. W., & Lim, E. G. (2002). Speaker recognition using adaptively boosted decision tree classifier. IEEE International Conference on Acoustics, Speech and Signal Processing 2002. (pp. 157-160).
Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (2002 : Orlando, Florida, US)
Abstract: In this paper, a novel approach for speaker recognition is proposed. The approach makes use of adaptive boosting (AdaBoost) and C4.5 decision trees for closed set, text-dependent speaker recognition. A subset of 20 speakers, 10 male and 10 female, drawn from the YOHO speaker verification corpus is used to assess the performance of the system. Results reveal that an accuracy of 99.5% of speaker identification may be achieved.
URI: https://hdl.handle.net/10356/79870
http://hdl.handle.net/10220/4615
Rights: IEEE International Conference on Acoustics, Speech and Signal Processing. Journal can be found at http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=7874
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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