Recognition of piano notes with the aid of FRM filters

An approach to recognition of piano notes using the Analysis-by-Synthesis technique is described in this paper. It is assumed that several notes may be played simultaneously and only a single signal source is available. The analysis is carried out in the frequency domain using Constant-Q Transform....

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Main Authors:	Foo, Say Wei, Lee, Edwin Wei Thai
Other Authors:	School of Electrical and Electronic Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Online Access:	https://hdl.handle.net/10356/90831 http://hdl.handle.net/10220/5939
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-908312020-03-07T13:24:46Z Recognition of piano notes with the aid of FRM filters Foo, Say Wei Lee, Edwin Wei Thai School of Electrical and Electronic Engineering International Conference on Sciences of Electronic, Technology of Information and Telecommunications (3rd : 2003 : Tunisia) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems An approach to recognition of piano notes using the Analysis-by-Synthesis technique is described in this paper. It is assumed that several notes may be played simultaneously and only a single signal source is available. The analysis is carried out in the frequency domain using Constant-Q Transform. In cases where the harmonics of notes are very close to one another, Frequency Response Masking (FRM) filters with suitably chosen selectivity and bandwidth are used to resolve the ambiguity. The method was tested with recording from an acoustic piano played by professional pianists. Results show that the system is able to resolve up to six simultaneous notes with high accuracy. Accepted version 2009-07-31T04:33:19Z 2019-12-06T17:54:49Z 2009-07-31T04:33:19Z 2019-12-06T17:54:49Z 2004 2004 Conference Paper Foo, S. W., & Lee, W. T. Recognition of piano notes with the aid of FRM filters. Proceedings of the 3rd International Conference on Sciences of Electronic, Technology of Information and Telecommunications. (pp.409-413). Tunisia: IEEE. https://hdl.handle.net/10356/90831 http://hdl.handle.net/10220/5939 10.1109/ISCCSP.2004.1296315 en International Conference on Sciences of Electronic, Technology of Information and Telecommunications © 2004 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. http://www.ieee.org/portal/site. 5 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Foo, Say Wei Lee, Edwin Wei Thai Recognition of piano notes with the aid of FRM filters
description	An approach to recognition of piano notes using the Analysis-by-Synthesis technique is described in this paper. It is assumed that several notes may be played simultaneously and only a single signal source is available. The analysis is carried out in the frequency domain using Constant-Q Transform. In cases where the harmonics of notes are very close to one another, Frequency Response Masking (FRM) filters with suitably chosen selectivity and bandwidth are used to resolve the ambiguity. The method was tested with recording from an acoustic piano played by professional pianists. Results show that the system is able to resolve up to six simultaneous notes with high accuracy.
author2	School of Electrical and Electronic Engineering
author_facet	School of Electrical and Electronic Engineering Foo, Say Wei Lee, Edwin Wei Thai
format	Conference or Workshop Item
author	Foo, Say Wei Lee, Edwin Wei Thai
author_sort	Foo, Say Wei
title	Recognition of piano notes with the aid of FRM filters
title_short	Recognition of piano notes with the aid of FRM filters
title_full	Recognition of piano notes with the aid of FRM filters
title_fullStr	Recognition of piano notes with the aid of FRM filters
title_full_unstemmed	Recognition of piano notes with the aid of FRM filters
title_sort	recognition of piano notes with the aid of frm filters
publishDate	2009
url	https://hdl.handle.net/10356/90831 http://hdl.handle.net/10220/5939
_version_	1681037799143243776

Recognition of piano notes with the aid of FRM filters

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