Best Feature Selection for Emotional Speaker Verification in i-vector Representation

被引：0
|
作者：
Mackova, Lenka [1 ]
Cizmar, Anton [1 ]
Juhar, Jozef [1 ]
机构：
[1] Tech Univ Kosice, Fac Elect Engn & Informat, Dept Elect & Multimedia Commun, Kosice, Slovakia
来源：
2015 25TH INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA) | 2015年
关键词：
emotions; i-vector; total variability; speaker verification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper is dedicated to the gender-dependent text-independent speaker verification from Slovak emotional speech. To investigate the best speaker verification performance different features were extracted in front-end processing, namely MFCC (Mel-Frequency Cepstral Coefficients), LPC (Linear Prediction Coefficients) and LPCC (Linear Prediction Cepstral Coefficients), and their mapping into low-dimensional vector of fixed length was performed following the principles of i-vector method. In evaluation process of i-vectors scoring following Mahalanobis distance metric was employed.
引用
收藏
页码：209 / 212
页数：4
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