Desain, P., & Honing, H. (1992). The quantization problem: traditional and connectionist approaches. In M. Balaban, K. Ebcioglu, & O. Laske (eds.), Understanding Music with AI: Perspectives on Music Cognition. 448-463. Cambridge: MIT Press.

Abstract

Quantization separates continuous time fluctuations from the discrete metrical time in performance of music. Traditional and AI methods for quantization are explained and compared. A connectionist network of interacting cells is proposed, which directs the data of rhythmic performance towards an equilibrium state representing a metrical score. This model seems to lack some of the drawbacks of the older methods. The algorithms of the described methods are included as small Common Lisp programs.

Full paper.(only available in RTF format)

Code (lisp).