Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics

Hochenbaum, Jordan and Kapur, Ajay

Proceedings of the International Conference on New Interfaces for Musical Expression

In this paper we present a multimodal system for analyzing drum performance. In the first example we perform automatic drum hand recognition utilizing a technique for automatic labeling of training data using direct sensors, and only indirect sensors (e.g. a microphone) for testing. Left/Right drum hand recognition is achieved with an average accuracy of 84.95% for two performers. Secondly we provide a study investigating multimodality dependent performance metrics analysis.