From Speech Quality Measures to Speaker Recognition Performance

被引：0
|
作者：
Bello, Claudia [1 ]
Ribas, Dayana [1 ]
Calvo, Jose R. [1 ]
Ferrer, Carlos A. [2 ]
机构：
[1] Adv Technol Applicat Ctr CENATAV, 7a St,21406 B 214 & 216, Havana 12200, Cuba
[2] Cent Univ Las Villas, Ctr Studies Elect & Informat Technol, Santa Clara, Cuba
来源：
PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014 | 2014年 / 8827卷
关键词：
Speech quality measures; speaker recognition; additive noise; kurtosis; VERIFICATION; MODELS;
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 work, a study about the relationship between speech Quality Measures(QM) and speaker recognition performance is presented. To accomplish this, four objective non-intrusive QM were selected (KLPC, KCEP, HD, P563), based on the relationship between their features and the speaker recognition process. Experiments were performed in a male speech corpus in several additive noise conditions. Statistical analysis about the data distributions related to quality, signal to noise ratio and speaker recognition scores were carried out. Interesting conclusions were obtained regarding the relationship between QM and speaker recognition scores for 20 noisy environments evaluated.
引用
收藏
页码：199 / 206
页数：8
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