Musical Notes Estimation Based on Greatest Common Devisor and Likelihood
Authors: 
Xi Wang, Wenlin ZhangAuthors Info & Claims
Pages 86 - 89
Abstract
In this paper, based on the relationship between fundamental frequency and harmonics, a musical note estimation algorithm using the greatest common divisor of peaks is proposed. By applying the algorithm to multi-notes estimation program that measures the likelihood of both peak and non-peak region, octave notes are better distinguished, and the total precision improved 1% in the evaluating result. A platform with a graphical user interface is also built in MATLAB to analyze and transcribe musical signals through recording and playing wave files.
References
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Z Duan, B Pardo, C Zhang, "Multiple fundamental frequency estimation by modeling spectral peaks and non-peak regions," IEEE Transactions on Audio Speech & Language Processing, 2010, 18 (8), 2121--2133.
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Index Terms
- Musical Notes Estimation Based on Greatest Common Devisor and Likelihood
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Information
Published In
April 2018
155 pages
ISBN:9781450364263
DOI:10.1145/3220199
Copyright © 2018 ACM.
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- Shenzhen University: Shenzhen University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 April 2018
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- Refereed limited
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ICBDC '18
ICBDC '18: 2018 International Conference on Big Data and Computing
April 28 - 30, 2018
Shenzhen, China
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