A speaker identification system using wavelet transform power density 3 and neural networks
Dissertant
Thesis advisor
Comitee Members
Kanan, Ghassan Jaddu
al-Shaykh, Asim A. R.
Muaydi, Hasan
University
Arab Academy for Financial and Banking Sciences
Faculty
The Faculty of Information Systems and Technology
Department
Computer information systems
University Country
Jordan
Degree
Ph.D.
Degree Date
2010
English Abstract
New Automatic Speaker Recognition (ASR) techniques are presented for speaker feature extraction and classification process, based on experimental and theoretical approaches those addressed this issue.
A combination between the Discrete Wavelet Transform (DWT) and logarithmic Power Spectrum Density (PSD) is used to illustrate the speaker formants, where DWT approximation sub-signals is represented and a low pass filter is utilized, which indicates low frequency signal levels.
This approach produces an additional efficient method in speaker recognition rate, and higher classification accuracy.
Feed Forward Back Propagation Neural Network (FFBPNN) and Correlation Coefficient factor are integrated and presented for features classification to locate the similarity between the processed signals.
The proposed methodology worked with excellent capability for features tracking and recognition for text dependant recordings, the system can be applied in password or PINs identification in any security system, adequate comparison was discussed.
Ultimately, the achieved results show high-quality performance in classification, which reaches about 99 % classification rate.
Main Subjects
Information Technology and Computer Science
Topics
No. of Pages
98
Table of Contents
Table of contents.
Abstract.
Chapter One : introduction.
Chapter Two : literature review.
Chapter Three : wavelet transform, psd and neural networks.
Chapter Four : the new recognition systems.
Chapter Five : conclusions and recommendations for future work.
References.
American Psychological Association (APA)
Abu Hilal, Tariq Ali Yaqub. (2010). A speaker identification system using wavelet transform power density 3 and neural networks. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-307009
Modern Language Association (MLA)
Abu Hilal, Tariq Ali Yaqub. A speaker identification system using wavelet transform power density 3 and neural networks. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences. (2010).
https://search.emarefa.net/detail/BIM-307009
American Medical Association (AMA)
Abu Hilal, Tariq Ali Yaqub. (2010). A speaker identification system using wavelet transform power density 3 and neural networks. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-307009
Language
English
Data Type
Arab Theses
Record ID
BIM-307009
