Speaker Identification Based on Curvlet Transform Technique

被引：0
|
作者：
AbuAladas, Feras E. [1 ,2 ]
Zeki, Akram M. [3 ]
Al-Ani, Muzhir Shaban [4 ]
Messikh, Az-Eddine [5 ]
机构：
[1] Int Islamic Univ Malaysia, Gombak, Malaysia
[2] Ajloun Natl Univ, Ajloun, Jordan
[3] Int Islamic Univ Malaysia, Kulliyah Informat & Comunicat Technol, Gombak, Malaysia
[4] Univ Human Dev, Coll Sci & Technol, Dept Comp Sci, Sulaimani, Krg, Iraq
[5] Int Islamic Univ Malaysia, Kulliayah Informat & Commun Technol, Gombak, Malaysia
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTING, ENGINEERING, AND DESIGN (ICCED) | 2017年
关键词：
speaker recognitio; speaker verfication; speaker identification; biometrics;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Speech processing considered one of the most crucial areas of signal processing. Human speech is a natural form of communication, speech contains many information that can be used for determine the gender and identify of the person, thus we refer to biometrics technology, where speaker voice is considered one of the biometrics can be used for distinguished purpose. This paper presented simple speaker identification approach based on curvelet transform as a feature extraction technique and Backpropagation neural network BP NN as a classifier.
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页数：4
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