The implementation of phoneme recognition system using multi wavelet transform and artificial neural networks
Other Title(s)
تطبيق نظام تمييز الألفاظ باستخدام التحويل المويجي و الشبكات العصبية
Dissertant
Abu Tabikh, Mayy Abd al-Munim S. Rahma
Thesis advisor
Comitee Members
University
University of Baghdad
Faculty
College of Science
Department
Department of Computer Science
University Country
Iraq
Degree
Master
Degree Date
2004
English Abstract
There are several advantages of Phoneme recognition.
It is easier to use speech for data entrance than other tools.
It allows writing userfriendly data entrance programs.
There are several difficulties in speech recognition.
One of these difficulties is noise.
Variability in speech is another problem.
Even the speech of same speaker varies.
The data used in this project are Arabic phonemes stored as 8-bit mono 8000Hz PCM WAVE Sound file.
The most important phase is feature extraction which is done by the Multiwavelet transform ,where the signal is framed into 256 samples each then windowed using the Hamming window finally the feature extraction which results 8 blocks of 128 sample and the extracted features are in the Low-Low block (the first block) .
Two Systems for Phoneme Recognition are proposed the first depends on the Euclidian differences of the coefficients of the Multiwavelet Transform.
The second depends on Artificial Neural Networks as decision making algorithm to find the best match for the tested phonemes.
The research showed that the accuracy of the first proposed system is 85% while the second recognizes the phonemes 98% efficiently.
Main Subjects
Information Technology and Computer Science
No. of Pages
66
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Principles of Arabic phoneme recognition.
Chapter Three : Computation of multiwavelet transform.
Chapter Four : Applying the artificial neural networks with multiwavelet transform.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
Abu Tabikh, Mayy Abd al-Munim S. Rahma. (2004). The implementation of phoneme recognition system using multi wavelet transform and artificial neural networks. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605016
Modern Language Association (MLA)
Abu Tabikh, Mayy Abd al-Munim S. Rahma. The implementation of phoneme recognition system using multi wavelet transform and artificial neural networks. (Master's theses Theses and Dissertations Master). University of Baghdad. (2004).
https://search.emarefa.net/detail/BIM-605016
American Medical Association (AMA)
Abu Tabikh, Mayy Abd al-Munim S. Rahma. (2004). The implementation of phoneme recognition system using multi wavelet transform and artificial neural networks. (Master's theses Theses and Dissertations Master). University of Baghdad, Iraq
https://search.emarefa.net/detail/BIM-605016
Language
English
Data Type
Arab Theses
Record ID
BIM-605016
