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...
| 主要な著者: | , |
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| その他の著者: | |
| フォーマット: | Conference Paper |
| 言語: | English |
| 出版事項: |
2009
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| オンライン･アクセス: | https://hdl.handle.net/10356/79870 http://hdl.handle.net/10220/4615 |