Polynomial classifier techniques for speaker verification

被引:20
作者
Campbell, WM [1 ]
Assaleh, KT [1 ]
机构
[1] Motorola SSG, Scottsdale, AZ 85257 USA
来源
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI | 1999年
关键词
D O I
10.1109/ICASSP.1999.758127
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Modern speaker verification applications require high accuracy at low complexity. We propose the use of a polynomial-based classifier to achieve this objective. We demonstrate a new combination of techniques which makes polynomial classification accurate and powerful for speaker verification. We show that discriminative training of polynomial classifiers can be performed on large data sets. A prior probability compensation method is detailed which increases accuracy and normalizes the output score range. Results are given for the application of the new methods to YOHO.
引用
收藏
页码:321 / 324
页数:4
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