Musical note extraction algorithm
This report concerns the recognition of musical notes. This requires the extraction of the loudnesses and timings of the musical notes played. In this report, the detection of the musical notes will be identified thorough the algorithm developed. The algorithm developed will focus on the detectin...
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sg-ntu-dr.10356-621542023-07-07T15:53:10Z Musical note extraction algorithm Ang, Jia Yi Foo Say Wei School of Electrical and Electronic Engineering DRNTU::Engineering This report concerns the recognition of musical notes. This requires the extraction of the loudnesses and timings of the musical notes played. In this report, the detection of the musical notes will be identified thorough the algorithm developed. The algorithm developed will focus on the detecting the onset of the notes, and identifying the musical notes through the constant Q transform method. The fundamental frequencies and harmonic frequencies of the notes are the vital information in identifying the musical notes played. References were drawn from previous studies conducted on related areas of interest. The significance of this thesis concerns the development of algorithms that can be used to detect and observe harmonic music in polyphonic signals, as well as implementing the program to detect musical notes played from other instruments. The music recognition program was implemented and simulated in Matlab platform. Bachelor of Engineering 2015-02-10T08:47:50Z 2015-02-10T08:47:50Z 2006 2006 Final Year Project (FYP) http://hdl.handle.net/10356/62154 en Nanyang Technological University 91 p. application/pdf |
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DRNTU::Engineering Ang, Jia Yi Musical note extraction algorithm |
description |
This report concerns the recognition of musical notes. This requires the extraction of the
loudnesses and timings of the musical notes played. In this report, the detection of the
musical notes will be identified thorough the algorithm developed.
The algorithm developed will focus on the detecting the onset of the notes, and
identifying the musical notes through the constant Q transform method. The fundamental
frequencies and harmonic frequencies of the notes are the vital information in identifying
the musical notes played.
References were drawn from previous studies conducted on related areas of interest. The
significance of this thesis concerns the development of algorithms that can be used to
detect and observe harmonic music in polyphonic signals, as well as implementing the
program to detect musical notes played from other instruments. The music recognition
program was implemented and simulated in Matlab platform. |
author2 |
Foo Say Wei |
author_facet |
Foo Say Wei Ang, Jia Yi |
format |
Final Year Project |
author |
Ang, Jia Yi |
author_sort |
Ang, Jia Yi |
title |
Musical note extraction algorithm |
title_short |
Musical note extraction algorithm |
title_full |
Musical note extraction algorithm |
title_fullStr |
Musical note extraction algorithm |
title_full_unstemmed |
Musical note extraction algorithm |
title_sort |
musical note extraction algorithm |
publishDate |
2015 |
url |
http://hdl.handle.net/10356/62154 |
_version_ |
1772826927470477312 |