Automatic Guitar String Detection by String-Inverse Frequency Estimation
Abstract
In this work, we present a novel approach to approximating the fretboard position, i. e., the string and fret combination of guitar and bass recordings, using a feature we call String-Inverse Frequencies (SIFs). These frequencies are obtained from the opposite part of the string pressed down on a fretboard. We then show how they are calculated and proof their usefulness for guitar string detection. Additionally, a database is featured with recordings specifically tailored for this task. Furthermore, we demonstrate a basic approach using SIFs based on FFT spectral analysis and compare it to a basic standard classification process using Mel-Frequency Cepstral Coefficients and Support Vector Machines. The SIF-based approach showed a detection rate of up to F1 = 72% for both guitar and bass. Finally, we discuss further possibilities regarding SIFs.
- Citation
- BibTeX
Geib, T., Schmitt, M. & Schuller, B.,
(2017).
Automatic Guitar String Detection by String-Inverse Frequency Estimation.
In:
Eibl, M. & Gaedke, M.
(Hrsg.),
INFORMATIK 2017.
Gesellschaft für Informatik, Bonn.
(S. 127-138).
DOI: 10.18420/in2017_08
@inproceedings{mci/Geib2017,
author = {Geib, Tobias AND Schmitt, Maximilian AND Schuller, Björn},
title = {Automatic Guitar String Detection by String-Inverse Frequency Estimation},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 127-138 } ,
doi = { 10.18420/in2017_08 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Geib, Tobias AND Schmitt, Maximilian AND Schuller, Björn},
title = {Automatic Guitar String Detection by String-Inverse Frequency Estimation},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 127-138 } ,
doi = { 10.18420/in2017_08 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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More Info
DOI: 10.18420/in2017_08
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2017
Language:
(en)

Collections
- P275 - INFORMATIK 2017 [266]