Feature extraction approach to enhance information retrieval for musical media
Dissertant
Thesis advisor
Comitee Members
al-Umari, Faruq
Tayi, Muhammad Mustafa
University
Philadelphia University
Faculty
Faculty of Information Technology
Department
Department of Computer Science
University Country
Jordan
Degree
Master
Degree Date
2013
English Abstract
In this research, the implementation of advanced music information retrieval system using the MATLAB software program is proposed and analyzed.
This implemented system retrieves musical data based on initially pre-processing the musical data using three main techniques; Discrete Wavelet Transform (DWT), Linear Predictive Coding (LPC) and filtering function, after that, extracting seven features; energy in DWT of the high band, Energy in DWT of the low band, total energy of both bands, zero crossing rate of the high band, zero crossing rate of the low band, autocorrelation of the high band and autocorrelation of the low band from these data and then matching the extracted features with those of training musical data that are stored in a predefined database.
The matching process depends on computing the Minkowski distance among musical data.
Results demonstrate that the implemented music retrieval system can effectively and accurately retrieve the correct musical data based on the chosen testing data and comparing them with predefined ones
Main Subjects
Information Technology and Computer Science
No. of Pages
66
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : System analisis and design.
Chapter Four : System implementation and evaluation.
Chapter Five : Conclusion and future work.
References.
American Psychological Association (APA)
al-Jufir, Ahmad Mahir Dali. (2013). Feature extraction approach to enhance information retrieval for musical media. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725382
Modern Language Association (MLA)
al-Jufir, Ahmad Mahir Dali. Feature extraction approach to enhance information retrieval for musical media. (Master's theses Theses and Dissertations Master). Philadelphia University. (2013).
https://search.emarefa.net/detail/BIM-725382
American Medical Association (AMA)
al-Jufir, Ahmad Mahir Dali. (2013). Feature extraction approach to enhance information retrieval for musical media. (Master's theses Theses and Dissertations Master). Philadelphia University, Jordan
https://search.emarefa.net/detail/BIM-725382
Language
English
Data Type
Arab Theses
Record ID
BIM-725382