Online text-independent speaker verification system using Autoassociative Neural Network models

被引：0
|
作者：
Kishore, SP [1 ]
Yegnanarayana, B [1 ]
Gangashetty, SV [1 ]
机构：
[1] Indian Inst Technol, Dept Comp Sci & Engn, Madras 600036, Tamil Nadu, India
来源：
IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an approach based on Autoassociative Neural Network (AANN) model for online implementation of text-independent speaker verification system. The distribution capturing ability of an AANN model is exploited to build the speaker model. A rank-based approach using individual background models is used to verify the claim of the speaker.
引用
收藏
页码：1548 / 1553
页数：6
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