Show simple item record

dc.contributor.authorGeib, Tobias
dc.contributor.authorSchmitt, Maximilian
dc.contributor.authorSchuller, Björn
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:49:13Z
dc.date.available2017-08-28T23:49:13Z
dc.date.issued2017
dc.identifier.isbn978-3-88579-669-5
dc.identifier.issn1617-5468
dc.description.abstractIn 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.en
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectGuitar String Detection
dc.subjectMusic Information Retrieval
dc.subjectFrequency Estimation
dc.titleAutomatic Guitar String Detection by String-Inverse Frequency Estimationen
mci.reference.pages127-138
mci.conference.sessiontitleMusik trifft Informatik
mci.conference.locationChemnitz
mci.conference.date25.-29. September 2017
dc.identifier.doi10.18420/in2017_08


Files in this item

Thumbnail

Show simple item record