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Friday 01 June 2007, 15:30-17:00
Variational Inference with Bayes Net Fragments for Beat Tracking and Rhythm Recognition
- đ¤ Speaker: Charles Fox
- đ Date & Time: Friday 01 June 2007, 15:30 - 17:00
- đ Venue: Engineering Department, Baker Building, Division F meeting room, 5th floor
Abstract
It is useful for music perception and automated accompaniment systems to perceive a music stream as a series of bars containing beats and rhythm patterns. We present a method combining variational Bayesian inference in network fragments with a blackboard system for simultaneous beat tracking and rhythm pattern recognition in the domain of semi-improvised music. This is music which consists mostly of known bar-long rhythm patterns in an improvised order, and with occasional unknown patterns. We assume that some lower-level component is available to detect and classify onsets. Model posteriors provide principled model competition, and the system may be seen as providing a Bayesian interpretation of agent-based and blackboard systems.
Series This talk is part of the Audio and Music Processing (AMP) Reading Group series.
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