J. Abesser and G. Schuller, “Instrument-Centered Music Transcription of Bass Guitar Tracks,” in Proc. AES Conference: 53rd International Conference: Semantic Audio, Jan. 2014, Paper 3-1. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17104
Abesser J, Schuller G. Instrument-Centered Music Transcription of Bass Guitar Tracks. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper 3-1. Available from: https://aes.org/publications/elibrary-page/?id=17104
@inproceedings{Abesser2014_17104,
author = {Abesser, Jakob and Schuller, Gerald},
title = {{Instrument-Centered Music Transcription of Bass Guitar Tracks}},
booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
note = {Paper 3-1},
year = {2014},
month = jan,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17104}
}
TY - CPAPER
TI - Instrument-Centered Music Transcription of Bass Guitar Tracks
AU - Abesser, Jakob
AU - Schuller, Gerald
T2 - AES Conference: 53rd International Conference: Semantic Audio
M1 - Paper 3-1
PY - 2014
DA - 2014/01/06
UR - https://aes.org/publications/elibrary-page/?id=17104
PB - Audio Engineering Society
LA - en
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.
ER -