This thesis contains research into methods for acoustic drum-kit source separation and onset detection for analysis of timing performance.
Taking into account the human motor and sensory system, a set of requirements are specified to guide the design and implementation of a prototype learning tool for use by drummers to improve their timing precision.
The prototype is evaluated from a system and user perspective and lastly the evaluation results and potential improvements are discussed.