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J. Abesser, and G. Schuller, "Instrument-Centered Music Transcription of Bass Guitar Tracks," Paper 3-1, (2014 January.). doi: J. Abesser, and G. Schuller, "Instrument-Centered Music Transcription of Bass Guitar Tracks," Paper 3-1, (2014 January.). doi:
Abstract: 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.

@article{abesser2014instrument-centered,
author={abesser, jakob and schuller, gerald},
journal={journal of the audio engineering society},
title={instrument-centered music transcription of bass guitar tracks},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},} @article{abesser2014instrument-centered,
author={abesser, jakob and schuller, gerald},
journal={journal of the audio engineering society},
title={instrument-centered music transcription of bass guitar tracks},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},
abstract={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.},}

TY - paper
TI - Instrument-Centered Music Transcription of Bass Guitar Tracks
SP - EP -
AU - Abesser, Jakob
AU - Schuller, Gerald
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014 TY - paper
TI - Instrument-Centered Music Transcription of Bass Guitar Tracks
SP - EP -
AU - Abesser, Jakob
AU - Schuller, Gerald
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014
AB - 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.