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Sample Level Modulation of Musical Timeline
Mingfeng Zhang
Dept. of Electrical and Computer Engineering, University of Rochester
In this toolbox we provide signal processing tools to allocate music events (samples of musical notes) to specified time locations with sample level accuracy. In this implementation, we use computational tools to add in micro-timing variations in J.S. Bach four-part chorales as a "visualizer" for big data.