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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.
Author (s): Abesser, Jakob; Schuller, Gerald
Affiliation:
Fraunhofer IDMT, Ilmanau, Germany; Technical University Ilmenau, Ilmenau, Germany
(See document for exact affiliation information.)
Publication Date:
2014-01-06
Import into BibTeX
Session subject:
Automatic Music Transcription
Permalink: https://aes2.org/publications/elibrary-page/?id=17104
(385KB)
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Abesser, Jakob; Schuller, Gerald; 2014; Instrument-Centered Music Transcription of Bass Guitar Tracks [PDF]; Fraunhofer IDMT, Ilmanau, Germany; Technical University Ilmenau, Ilmenau, Germany; Paper 3-1; Available from: https://aes2.org/publications/elibrary-page/?id=17104
Abesser, Jakob; Schuller, Gerald; Instrument-Centered Music Transcription of Bass Guitar Tracks [PDF]; Fraunhofer IDMT, Ilmanau, Germany; Technical University Ilmenau, Ilmenau, Germany; Paper 3-1; 2014 Available: https://aes2.org/publications/elibrary-page/?id=17104