Neural Network Based Speaker Verification for Security Systems

被引：0

作者：

Turajlic, E. ^{[1
]}

Bozanovic, O. ^{[1
]}

机构：

[1] Sarajevo Sch Sci & Technol, Dept Comp Sci, Sarajevo 71000, Bosnia & Herceg

来源：

2012 20TH TELECOMMUNICATIONS FORUM (TELFOR) | 2012年

关键词：

ANN; MFCC; speaker verification;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper investigates the use of neural networks and MFCC coefficients for automatic, text-dependent, speaker verification in security systems. We have aimed to optimize the classification performance in terms of learning strategy and neural network architecture, as well as to establish the optimal choice of parameters for the voice signature, where MFCC coefficients derivatives are considered. The performance evaluation is conducted on a database of 600 waveforms of a Serbo-Croatian utterance "lozinka" (meaning "password").

引用

页码：740 / 743

页数：4

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