A new feature extraction based the reliability of speech in speaker recognition

被引：0
|
作者：
Yang, Z [1 ]
Li, CW [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Nanjing 210003, Peoples R China
来源：
2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II | 2002年
关键词：
speech cepstrum feature; speaker recognition; reliability; prediction error;
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：
This paper discusses the reliability of speech feature extraction and its application to speaker recognition. Usually, a speaker recognition system consists of a front-end feature extractor and a back-end classifier. The usual speech feature extractor only extracts the feature parameters, it doesn't estimate the reliability of these parameters. In this paper, we propose a new speaker recognition method based on the reliability of speech features extracted. We. apply a different weight, to each feature vector according to the estimated reliability of this vector and then determine its role in speaker recognition. Our experiments clearly show that this strategy improves the effectiveness in text-independence speaker identification.
引用
收藏
页码：536 / 539
页数：4
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