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Recognition of musical notes with their corresponding tone and term through image processing / by Jhon Errold G. Ferrolino.

By:

Ferrolino, Jhon Errold G [author]

Contributor(s):

Lontoc, Julie Ann C [adviser]

Material type: Text

TextLanguage: English Publication details: Indang, Cavite, 2017. Cavite State University- Main Campus,Description: xiii, 64 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

006.6 F39 2017

Online resources:

Click here to view abstract and table of contents

Production credits:

College of Engineering and Information Technology (CEIT)

Abstract: FERROLINO, MON ERROLD G. Recognition of Musical Notes with their Corresponding Tone and Term through Image Processing. Undergraduate Thesis, Bachelor of Science in Computer Science, Cavite State University, Indang, Cavite. April 2016. Adviser: Ms Julie Ann C. Lontoc. The study "Recognition of Musical Notes with their Corresponding Tone and Term through Image Processing" aimed to recognize a printed music score and converting it to a format that is understood by computers. This process involves detecting all musical elements present in the music score in such a way that the score can be represented digitally. The study was conducted from March 2015 to April 2017 at Cavite State University — Main Campus. The system was developed through the use of iterative development methodology. The algorithms used in this study is the Hidden Makarov Models wherein this technique is capable to perform segmentation and recognition at the same time and the K-nearest Neighbor where it has a supervised learning method for classifying objects. It was created using NetBeans 8.0 as the programming flat form, computer-literate and musically inclined people were the participants that evaluated the system based on its functionality, reliability, usability, efficiency, and portability. A software evaluation sheet based on ISO 91.26 was used as the research instrument. An overall mean of 4.61 was obtained from the evaluation, which indicates that the software fully met and far exceeded most of the participants' expectations. They find that the system is functioning well, reliable in all aspect, easy to operate, efficient, and can adapt to changes in its environment.

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Holdings ( 1 )
Title notes ( 5 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	006.6 F39 2017 (Browse shelf(Opens below))		Link to resource	Room use only	T-7194		00011703

Thesis (Bachelor of Science in Computer Science) Cavite State University

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

FERROLINO, MON ERROLD G. Recognition of Musical Notes with their Corresponding Tone and Term through Image Processing. Undergraduate Thesis, Bachelor of Science in Computer Science, Cavite State University, Indang, Cavite. April 2016. Adviser: Ms Julie Ann C. Lontoc.
The study "Recognition of Musical Notes with their Corresponding Tone and Term through Image Processing" aimed to recognize a printed music score and converting it to a format that is understood by computers. This process involves detecting all musical elements present in the music score in such a way that the score can be represented digitally. The study was conducted from March 2015 to April 2017 at Cavite State University — Main Campus. The system was developed through the use of iterative development methodology. The algorithms used in this study is the Hidden Makarov Models wherein this technique is capable to perform segmentation and recognition at the same time and the K-nearest Neighbor where it has a supervised learning method for classifying objects. It was created using NetBeans 8.0 as the programming flat form, computer-literate and musically inclined people were the participants that evaluated the system based on its functionality, reliability, usability, efficiency, and portability. A software evaluation sheet based on ISO 91.26 was used as the research instrument. An overall mean of 4.61 was obtained from the evaluation, which indicates that the software fully met and far exceeded most of the participants' expectations. They find that the system is functioning well, reliable in all aspect, easy to operate, efficient, and can adapt to changes in its environment.

Submitted copy to the University Library. 10/18/2017 T-7194