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Feature-based extraction of plucking and expression styles of the electric bass guitar

 
: Abeßer, Jakob; Lukashevich, Hanna; Schuller, Gerald

:

Douglas, S.C. ; IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010. Proceedings. Vol.3 : 14-19 March 2010, Dallas, Texas, USA
Piscataway/NJ: IEEE, 2010
ISBN: 978-1-4244-4296-6
ISBN: 978-1-4244-4295-9
pp.2290-2293
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <35, 2010, Dallas/Tex.>
English
Conference Paper
Fraunhofer ISE ()
Fraunhofer IDMT ()
Solarzellen - Entwicklung und Charakterisierung; Silicium-Photovoltaik; Charakterisierung von Prozess- und Silicium-Materialien; Messtechnik und Produktionskontrolle; Charakterisierung; Qualitätssicherung und Messtechnikentwicklung: Material; Zellen und Module; playing technique estimation; music transcription; music classification

Abstract
In this paper, we present a feature-based approach for the classification of different playing techniques in bass guitar recordings. The applied audio features are chosen to capture typical instrument sounds induced by 10 different playing techniques. A novel database that consists of approx. 4300 isolated bass notes was assembled for the purpose of evaluation. The usage of domain-specific features in a combination of feature selection and feature space transformation techniques improved the classification accuracy by over 27% points in comparison to a state-of-the-art baseline system. Classification accuracy reached 93.25% and 95.61% for the recognition of plucking and expression styles respectively.

: http://publica.fraunhofer.de/documents/N-170372.html