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.
Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/205 |
Date | 27 August 2007 |
Creators | Benning, Manjinder |
Contributors | Driessen, Peter |
Source Sets | University of Victoria |
Language | English, English |
Detected Language | English |
Type | Thesis |
Rights | Available to the World Wide Web |
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