In this paper, an augmented reality application for drumkit simulation is presented. The system is capable of classifying any percussive sounds produced by the user from an everyday desktop environment, e.g. clapping, snapping, stroking different objects with a pencil, etc., recognizing up to six different classes of drum hits. These different types of user-generated sounds will subsequently be associated to predefined drumkit sounds, resulting in a natural and intuitive audio interface for drummers and percussionists, which only requires a computer with a built-in microphone. A set of audio features and classification techniques are evaluated for the implementation of the aforementioned system.