Multistage Speaker Feature Tracking Identification System Based on Continuous and Discrete Wavelet Transform

被引：0
|
作者：
Al-Sawalmeh, Wael [1 ]
Daqrouq, Khaled [1 ]
Al-Qawasmi, Abdel-Rahman [1 ]
机构：
[1] Philadelphia Univ, Dept Commun & Elect Engn, POB 1, Amman 19392, Jordan
来源：
MUSP '06: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON MULTIMEDIA SYSTEMS AND SIGNAL PROCESSING | 2009年
关键词：
Speaker identification; Continuous and discrete wavelet transform; GENERALIZED INVERSE; PATTERN-CLASSIFICATION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Wavelet transform multi-stage identification system is presented. This paper intends to introduce high accuracy of identification the speech signal of very difficult nature that is non- stationary. Three methods are used to extract the essential speaker features based on Continuous, Discrete Wavelet Transform and Statistical Quality Evaluation Method. To have better identification rate three measurement methods are used. 95% identification rate is accomplished. The presented system in this paper depends on multi-stage features extracting due to its better accuracy. The system works with excellent capability of features tracking. This is accomplished because of multistage features tracking based system using Wavelet Transform, which is suitable for non-stationary signal
引用
收藏
页码：30 / +
页数：4
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