Real-time drums transcription with characteristic bandpass filtering

Authors:
A. Maximos;Andreas Floros;Michael N. Vrahatis;Nikolaos Kanellopoulos
Affiliations:
University of Patras, Patras, Greece;Ionian University, Corfu, Greece;University of Patras, Patras, Greece;Ionian University, Corfu, Greece
Venue:
Proceedings of the 7th Audio Mostly Conference: A Conference on Interaction with Sound
Year:
2012

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Abstract

Real--time transcription of drum signals is an emerging area of research. Several applications for music education and commercial use can utilize such algorithms and allow for an easy-to-use way to interpret drum signals in real--time. The paper at hand proposes a system that performs real--time drums transcription. The proposed system consists of two subsystems, the real--time separation and the training module. The real--time separation module is based on the use of characteristic filters, combining simple bandpass filtering and amplification, a fact that diminishes computational cost and potentially renders it suitable for implementation on hardware. The training module employs Differential Evolution to create generations of characteristic filter combinations that optimally separate a set of given drum sources. Initial experimental results indicate that the proposed system is relatively accurate rendering it convenient for real-time hardware implementations targeted to a wide range of applications.