Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3902
Title: AN OPEN-SOURCE DRUM TRANSCRIPTION SYSTEM FOR PURE DATA AND MAX MSP
Authors: Miron,M
Matthew Davies
Fabien Gouyon
Issue Date: 2013
Abstract: This paper presents a drum transcription algorithm adjusted to the constraints of real-time audio. We introduce an instance filtering (IF) method using sub-band onset detection, which improves the performance of a system having at its core a feature-based K-nearest neighbor classifier (KNN). The architecture proposed allows for adapting different parts of the algorithm for either bass drum, snare drum or hi-hat cymbals. The open-source system is implemented in the graphic programming languages Pure Data (PD) and Max MSP, and aims to work with a large variety of drum sets. We evaluated its performance on a database of audio samples generated from a well known collection of midi drum loops randomly matched with a diverse collection of drum sets. Both of the evaluation stages, testing and validation, show an improvement in the performance when using the instance filtering algorithm.
URI: http://repositorio.inesctec.pt/handle/123456789/3902
http://dx.doi.org/10.1109/icassp.2013.6637641
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CTM - Articles in International Conferences

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