AES E-Library

AES E-Library

Automatic Recognition and Parametrization of Frequency Modulation Techniques in Bass Guitar Recordings

Document Thumbnail

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.

AES Conference:
Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society