A Modified Kalman Filtering Approach to On-Line Musical Beat Tracking

A modified Kalman filtering approach to on-line music beat tracking is proposed in this work. The proposed algorithm first detects onset signals from the acoustic waveform. Then, it tracks the beat and the tempo using the Kalman filter. Two techniques (i.e., observation smoothing and lock detection) are adopted to improve the tracking performance furthermore. It is shown by experimental results that the proposed modified Kalman filtering approach provides satisfactory beat tracking performance.