Wavelet Transform Based Features Vector Extraction in Isolated Words Speech Recognition System

被引：0
|
作者：
Al-Qaraawi, Salih M. [1 ]
Mahmood, Sarah Shukur [1 ]
机构：
[1] Univ Technol Baghdad, Dept Comp Engn, Baghdad, Iraq
来源：
2014 9TH INTERNATIONAL SYMPOSIUM ON COMMUNICATION SYSTEMS, NETWORKS & DIGITAL SIGNAL PROCESSING (CSNDSP) | 2014年
关键词：
neural network; wavelet transform; speech recognition; acoustic feature;
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：
The aim of this paper is to develop an algorithm that uses wavelet transform and energy to extract and represent features of the acquired speech signals as a basis for accurate method of identifying and classifying speech signals according to their features. Feed-forward neural network is used in recognition of English spoken words with back propagation learning algorithm. It is important to mention that due to its generality, this method can be applied to recognise many languages.
引用
收藏
页码：847 / 850
页数：4
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