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Automatic Guitar String Detection by String-Inverse Frequency Estimation

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2017

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Gesellschaft für Informatik, Bonn

Zusammenfassung

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.

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Geib, Tobias; Schmitt, Maximilian; Schuller, Björn (2017): Automatic Guitar String Detection by String-Inverse Frequency Estimation. INFORMATIK 2017. DOI: 10.18420/in2017_08. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-669-5. pp. 127-138. Musik trifft Informatik. Chemnitz. 25.-29. September 2017

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