A Supervised Text-Independent Speaker Recognition Approach

被引：0
|
作者：
Barbu, Tudor [1 ]
机构：
[1] Acad Romana, Inst Comp Sci, Iasi Branch, Bucharest, Romania
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 22 | 2007年 / 22卷
关键词：
Text-independent speaker recognition; mel cepstral analysis; speech feature vector; Hausdorff-based metric; supervised classification;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We provide a supervised speech-independent voice recognition technique in this paper. In the feature extraction stage we propose a mel-cepstral based approach. Our feature vector classification method uses a special nonlinear metric, derived from the Hausdorff distance for sets, and a minimum mean distance classifier.
引用
收藏
页码：444 / 448
页数：5
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