Recognition of piano keyboards based on sound feature extraction
Year: 2019
Journal of Information and Computing Science, Vol. 14 (2019), Iss. 3 : pp. 178–183
Abstract
School of Computing, University of Kent, CT2 7NZ, England, UK (Received May 10 2019, accepted June 11 2019) The tones of piano are produced by regular periodic oscillations and different keys’ individual inherent audio characteristics. Based on the collection of the sound wave signals and the analysis of the frequency characteristics from different keys, this study explores the methods to effectively identify and detect the corresponding numbers of keys. This paper will also compare and analyzed the different methods of audio signal extraction and identification of piano keys, to find effective methods to make theoretical preparation for further system development.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22411
Journal of Information and Computing Science, Vol. 14 (2019), Iss. 3 : pp. 178–183
Published online: 2019-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6