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Musical sound recognition

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Musical sound recognition

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dc.contributor.author Foo, Say Wei
dc.contributor.author Ng, Chen Hwi
dc.date.accessioned 2009-07-27T08:48:27Z
dc.date.available 2009-07-27T08:48:27Z
dc.date.copyright 1999
dc.date.issued 2009-07-27T08:48:27Z
dc.identifier.citation Foo, S. W., & Ng. C. H. (1999). Musical Sound Recognition. In Proceedings of the International Conference on Information, Communications and Signal Processing. Singapore: IEEE.
dc.identifier.uri http://hdl.handle.net/10220/4705
dc.description.abstract In this paper, two different methods to implement one particular aspect of music transcription – musical note recognition – are presented. Both methods make use of existing algorithms in the form of the Constant-Q Transform (CQT) and the Discrete Wavelet Transform (DWT). Each existing algorithm is modified or extended so that a musical note recognition algorithm can be implemented on computer. Two main principles behind each method are peak detection using suitable thresholds and check for presence of harmonics in the process of note identification. The CQTbased method has a higher degree of accuracy, as it is able to resolve up to four simultaneous notes played on a guitar. The DWT-based method is less accurate but some suggestions are given as to how the algorithm can be further modified for improved performance.
dc.format.extent 5 p.
dc.language.iso en
dc.rights © 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
dc.subject DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
dc.title Musical sound recognition
dc.type Conference Paper
dc.contributor.conference IEEE International Conference on Information, Communications and Signal Processing (2nd : 1999 : Singapore)
dc.contributor.school School of Electrical and Electronic Engineering
dc.description.version Accepted version

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