An improved system for large population text independent Speaker Recognition with short utterances

被引：0

作者：

Chakroun, Rania ^{[1
,2
]}

Frikha, Mondher ^{[1
,3
]}

机构：

[1] Adv Technol Image & Signal Proc ATISP Res Unit, Sfax, Tunisia

[2] Natl Sch Engn Sfax, Sfax, Tunisia

[3] Natl Sch Elect & Telecommun Sfax, Sfax, Tunisia

来源：

IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) | 2021年

关键词：

Speaker Recognition; speaker verification; speaker identification; large population; i-vector; PLDA; IDENTIFICATION; VERIFICATION; SPEECH;

D O I：

10.1109/IWCMC51323.2021.9498981

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new text independent speaker recognition system based on new cepstral Coefficients and i-vector based on probabilistic linear discriminant analysis. This system is designed to be used as a biometric authentication system based on the speaker voice. The experiments were performed on speech data taken from a large number of users and consist of 630 speakers from TIMIT database for different training conditions. The efficiency of the proposed system is observed with the increase of Speaker identification Rate. Experimental results show that the system gives higher recognition performance for different numbers of speakers.

引用

页码：2127 / 2131

页数：5

共 36 条

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