An automatic system for Turkish word recognition using discrete wavelet neural network based on adaptive entropy
Author
Source
The Arabian Journal for Science and Engineering. Section B, Engineering
Issue
Vol. 32, Issue 2B (31 Oct. 2007), pp.239-250, 12 p.
Publisher
King Fahd University of Petroleum and Minerals
Publication Date
2007-10-31
Country of Publication
Saudi Arabia
No. of Pages
12
Main Subjects
Topics
Abstract EN
In this paper, an automatic system is presented for word recognition using real Turkish word signals.
This paper especially deals with combination of the feature extraction and classification from real Turkish word signals.
A Discrete Wavelet Neural Network (DWNN) model is used, which consists of two layers: discrete wavelet layer and multi-layer perceptron.
The discrete wavelet layer is used for adaptive feature extraction in the time-frequency domain and is composed of Discrete Wavelet Transform (DWT) and wavelet entropy.
The multi-layer perceptron used for classification is a feed-forward neural network.
The performance of the used system is evaluated by using noisy Turkish word signals.
Test results showing the effectiveness of the proposed automatic system are presented in this paper
American Psychological Association (APA)
Avci, Engin. 2007. An automatic system for Turkish word recognition using discrete wavelet neural network based on adaptive entropy. The Arabian Journal for Science and Engineering. Section B, Engineering،Vol. 32, no. 2B, pp.239-250.
https://search.emarefa.net/detail/BIM-344523
Modern Language Association (MLA)
Avci, Engin. An automatic system for Turkish word recognition using discrete wavelet neural network based on adaptive entropy. The Arabian Journal for Science and Engineering. Section B, Engineering Vol. 32, no. 2B (Oct. 2007), pp.239-250.
https://search.emarefa.net/detail/BIM-344523
American Medical Association (AMA)
Avci, Engin. An automatic system for Turkish word recognition using discrete wavelet neural network based on adaptive entropy. The Arabian Journal for Science and Engineering. Section B, Engineering. 2007. Vol. 32, no. 2B, pp.239-250.
https://search.emarefa.net/detail/BIM-344523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 249-250
Record ID
BIM-344523