Kalman filtering for computer music applications
Date
2007-08-27T23:42:12Z
Authors
Benning, Manjinder
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Abstract
This thesis discusses the use of Kalman filtering for noise reduction in a 3-D gesture-
based computer music controller known as the Radio Drum and for real-time tempo
tracking of rhythmic and melodic musical performances. The Radio Drum noise
reduction Kalman filter is designed based on previous research in the field of target
tracking for radar applications and prior knowledge of a drummer’s expected gestures
throughout a performance. In this case we are seeking to improve the position
estimates of a drum stick in order to enhance the expressivity and control of the
instrument by the performer. Our approach to tempo tracking is novel in that a multi-
modal approach combining gesture sensors and audio in a late fusion stage lead to
higher accuracy in the tempo estimates.
Description
Keywords
Kalman Filtering, Computer Music, Tempo Tracking, Radio Drum, Noise Reduction, Adaptive Filtering, Particle Filtering, Wearable Sensors, Audio Signal Processing