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Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 53-352
Full Name: Wael Al-Sawalmeh
Position: Assistant Professor
Age: ON
Sex: Male
Address: Al-Hussien Bin Talal University,Ma'an - Jordan P.O. Box ( 20 ),
Country: JORDAN
Tel: +962-796786786
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E-mail address: Walsawalmeh@ahu.edu.jo
Other E-mails: narin912007@yahoo.com
Title of the Paper: Arabic Vowels Recognition Using Wavelet Entropy and Neural Network
Authors as they appear in the Paper: W.Al-Sawalmeh, K.Daqrouq and O.Daoud
Email addresses of all the authors: Walsawalmeh@ahu.edu.jo
Number of paper pages: 10
Abstract: This work tackles the Arabic vowels recognition using very promising techniques; wavelet packet transform (WT) with entropy and neural network. Trying to enhance the recognition process, three types of entropies were applied for the wavelet packet (WP) of the speech signals. Moreover, different levels of WP were used in order to enhance the efficiency of the proposed work until level 7. To classify among the feature vectors; a probabilistic neural network (PNN) were used. A MATLAB program is used to build the model of the proposed work to show the powerfulness of 96.77% identification rate. This is due to that the functions of features extraction and classifications are performed using the entropy, wavelet packet and neural networks.
Keywords: Wavelet; Entropy; Neural Network; and Arabic Vowels.
EXTENSION of the file: .doc
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