Recognition of piano notes

In this paper, an algorithm for the recognition of musical sound from piano is proposed. The music signal is first digitally sampled and transformed from the time domain to the frequency domain using Constant Q Transform. Template matching and other processing techniques are subsequently appl...

Full description

Saved in:

Bibliographic Details
Main Authors:	Foo, Say Wei, Wong, Pui Leng
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	https://hdl.handle.net/10356/90463 http://hdl.handle.net/10220/4669
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-90463
record_format	dspace
spelling	sg-ntu-dr.10356-904632019-12-06T17:48:11Z Recognition of piano notes Foo, Say Wei Wong, Pui Leng School of Electrical and Electronic Engineering IEEE International Conference on Information, Communications and Signal Processing (2nd : 1999 : Singapore) DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this paper, an algorithm for the recognition of musical sound from piano is proposed. The music signal is first digitally sampled and transformed from the time domain to the frequency domain using Constant Q Transform. Template matching and other processing techniques are subsequently applied to detect and identify the notes. The algorithm is applied to electronically synthesised music and musical pieces performed on a piano. Perfect recognition is achieved for the electronically synthesised pieces while a high degree of accuracy is achieved for the piano pieces. Accepted version 2009-06-23T09:05:19Z 2019-12-06T17:48:11Z 2009-06-23T09:05:19Z 2019-12-06T17:48:11Z 1999 1999 Conference Paper Foo, S. W., & Wong, P. L. (1999). Recognition of piano notes. In Proceedings of the International Conference on Information, Communications and Signal Processing 1999: National University of Singapore. https://hdl.handle.net/10356/90463 http://hdl.handle.net/10220/4669 en © 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site 4 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Foo, Say Wei Wong, Pui Leng Recognition of piano notes
description	In this paper, an algorithm for the recognition of musical sound from piano is proposed. The music signal is first digitally sampled and transformed from the time domain to the frequency domain using Constant Q Transform. Template matching and other processing techniques are subsequently applied to detect and identify the notes. The algorithm is applied to electronically synthesised music and musical pieces performed on a piano. Perfect recognition is achieved for the electronically synthesised pieces while a high degree of accuracy is achieved for the piano pieces.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Foo, Say Wei Wong, Pui Leng
format	Conference or Workshop Item
author	Foo, Say Wei Wong, Pui Leng
author_sort	Foo, Say Wei
title	Recognition of piano notes
title_short	Recognition of piano notes
title_full	Recognition of piano notes
title_fullStr	Recognition of piano notes
title_full_unstemmed	Recognition of piano notes
title_sort	recognition of piano notes
publishDate	2009
url	https://hdl.handle.net/10356/90463 http://hdl.handle.net/10220/4669
_version_	1681034743292887040

Recognition of piano notes

Similar Items