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Investigation of Timbral Qualities of Guitar Using Wavelet Analysis
Author(s) -
Şafak Ekmen,
Can Karadoğan,
Serhat Şeker
Publication year - 2021
Publication title -
traitement du signal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 11
eISSN - 1958-5608
pISSN - 0765-0019
DOI - 10.18280/ts.380218
Subject(s) - guitar , wavelet , speech recognition , computer science , artificial intelligence , acoustics , physics
Received: 24 September 2020 Accepted: 10 February 2021 Aim of this study is presenting a practical and accurate approach for objective evaluation of guitars that is suitable for performing by the different parties of the field. For this purpose, timbral qualities of classical guitars are investigated using the power of wavelet analysis. A complete system from data capturing to their analysis is proposed. A mass produced guitar that is described as a learning guitar by its production company and a luthier-made guitar are analyzed. Procedure is done with the piezo-film sensors attached to the guitar and the player holding it in a conventional playing position while plucking the strings with a pluck. Continuous Wavelet and Wavelet Packet Transforms are employed for analysis using MATLAB Wavelet Toolbox. High resolution results show detailed presentation of harmonic and inharmonic partials as well as time envelopes of them. This allows for objective analysis on the timbre of a guitar as well as making comparison between the timbral properties of two guitars.

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