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Automatic recognition and parametrization of frequency modulation techniques in bass guitar recordings

: Abeßer, Jakob; Dittmar, Christian; Schuller, Gerald

Brandenburg, K. ; Audio Engineering Society -AES-:
Semantic audio. Proceedings of the AES 42nd International Conference 2011 : July 22 - 24, Ilmenau, Germany
New York, NY: AES, 2011
ISBN: 978-0-937803-81-3
Audio Engineering Society (International Conference) <42, 2011, Ilmenau>
Conference Paper
Fraunhofer IDMT ()
M2D; SMT; music transcription; playing technique estimation

In this paper, we propose a novel method to parametrize and classify different frequency modulation techniques in bass guitar recordings. A parametric spectral estimation technique is applied to refine the fundamental frequency estimates derived from an existing bass transcription algorithm. We apply a two-stage taxonomy of bass playing styles with special focus on the frequency modulation techniques slide, bending, and vibrato. An existing database of isolated note recordings is extended by approx. 900 samples to evaluate the presented algorithm. We achieve comparable classification accuracy values of 85.1% and 81.5% for classification on class-level and subclass-level. Furthermore, two potential application scenarios are outlined.