Speaker recognition using adaptively boosted decision tree classifier

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...

詳細記述

書誌詳細
主要な著者: Foo, Say Wei, Lim, Eng Guan
その他の著者: IEEE International Conference on Acoustics, Speech and Signal Processing (2002 : Orlando, Florida, US)
フォーマット: Conference Paper
言語:English
出版事項: 2009
オンライン・アクセス:https://hdl.handle.net/10356/79870
http://hdl.handle.net/10220/4615