![]() In the second approach templates of the minimum and maximum frequency spectrum of each trained stroke type are created. The first classification approach is based on the extraction of a feature vector that is used to build a decision tree with the J48 algorithm. The algorithms are tested with MatlabR and Weka. Therefore, an onset detection algorithm based on the time domain of the incoming audio stream is developed and two different approaches for classification are tested. It detects strokes on drums and cymbals of a pre-configured drum kit in real-time and differentiates them from each other. This system is able to receive the sound of the drum set on a web browser by using a microphone. The aim of this thesis is to provide a system that allows to use an analog drum set with the Easydrum platform. This thesis describes the concept for an extension of the online drum school Easydrum.
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