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Wavelet transform-based multipitch estimation in polyphonic music

In this paper, a Wavelet transform-based approach for estimation of multipitch in music signal has been proposed. Among the Morlet Wavelet (MW), Mexican hat, and Shannon wavelet that belong to the widely used wavelets in different applications, the Morlet wavelet performs well for estimation of pitc...

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Detalles Bibliográficos
Autores principales: Kumar, Neeraj, Kumar, Raubin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000807/
https://www.ncbi.nlm.nih.gov/pubmed/32042974
http://dx.doi.org/10.1016/j.heliyon.2020.e03243
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author Kumar, Neeraj
Kumar, Raubin
author_facet Kumar, Neeraj
Kumar, Raubin
author_sort Kumar, Neeraj
collection PubMed
description In this paper, a Wavelet transform-based approach for estimation of multipitch in music signal has been proposed. Among the Morlet Wavelet (MW), Mexican hat, and Shannon wavelet that belong to the widely used wavelets in different applications, the Morlet wavelet performs well for estimation of pitch in polyphonic music signals. This is why a method involving modification of the Morlet wavelet has been proposed for achieving better accuracy in estimation of multiple pitches in polyphonic music. Performance of the Modified Morlet Wavelet (MMW) based Multipitch Estimation (MPE) scheme has been compared with that of a method based on Fast Fourier Transform and another based on the original Morlet Wavelet, in terms of percentage Gross Pitch Error (GPE). Piano chord data base and Standard music IOWA data base have been used for performance evaluation of the proposed scheme. Simulation results show that percentage error in pitch (described by the fundamental frequency) is minimum for the proposed i.e. MMW-based method.
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spelling pubmed-70008072020-02-10 Wavelet transform-based multipitch estimation in polyphonic music Kumar, Neeraj Kumar, Raubin Heliyon Article In this paper, a Wavelet transform-based approach for estimation of multipitch in music signal has been proposed. Among the Morlet Wavelet (MW), Mexican hat, and Shannon wavelet that belong to the widely used wavelets in different applications, the Morlet wavelet performs well for estimation of pitch in polyphonic music signals. This is why a method involving modification of the Morlet wavelet has been proposed for achieving better accuracy in estimation of multiple pitches in polyphonic music. Performance of the Modified Morlet Wavelet (MMW) based Multipitch Estimation (MPE) scheme has been compared with that of a method based on Fast Fourier Transform and another based on the original Morlet Wavelet, in terms of percentage Gross Pitch Error (GPE). Piano chord data base and Standard music IOWA data base have been used for performance evaluation of the proposed scheme. Simulation results show that percentage error in pitch (described by the fundamental frequency) is minimum for the proposed i.e. MMW-based method. Elsevier 2020-01-29 /pmc/articles/PMC7000807/ /pubmed/32042974 http://dx.doi.org/10.1016/j.heliyon.2020.e03243 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kumar, Neeraj
Kumar, Raubin
Wavelet transform-based multipitch estimation in polyphonic music
title Wavelet transform-based multipitch estimation in polyphonic music
title_full Wavelet transform-based multipitch estimation in polyphonic music
title_fullStr Wavelet transform-based multipitch estimation in polyphonic music
title_full_unstemmed Wavelet transform-based multipitch estimation in polyphonic music
title_short Wavelet transform-based multipitch estimation in polyphonic music
title_sort wavelet transform-based multipitch estimation in polyphonic music
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7000807/
https://www.ncbi.nlm.nih.gov/pubmed/32042974
http://dx.doi.org/10.1016/j.heliyon.2020.e03243
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