In this paper, we propose an instrument-centered bass guitar transcription algorithm. Instead of aiming at a general-purpose bass transcription algorithm, we incorporate knowledge about the instrument construction and typical playing techniques of the electric bass guitar. In addition to the commonly extracted score-level parameters note onset, offset, and pitch, we also estimate the additional instrument-level note parameters string number, fret number, plucking style, and expression style. The proposed algorithm achieved an F-measure value of 0.901 for the note-wise transcription evaluation on a novel evaluation dataset and outperformed three state-of-the-art bass transcription algorithms.

Authors: Abesser, Jakob; Schuller, Gerald
Affiliations: Fraunhofer IDMT, Ilmanau, Germany; Technical University Ilmenau, Ilmenau, Germany(See document for exact affiliation information.)
AES Conference: 53rd International Conference: Semantic Audio (January 2014)
Paper Number: 3-1
Publication Date: January 27, 2014 Import into BibTeX
Subject: Automatic Music Transcription
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=17104

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