Characterizing music dynamics for improvisation

Characterizing music dynamics is important for music generation, music analogies, music retrieval, music improvisation etc. Though there has been some work on modeling music, most of them do not consider the temporal or dynamical aspects of music. In this paper we show that it is possible to characterize music dynamics using linear prediction. We provide a technique for music improvisation using this model. The improvisation scheme is then applied to the generation of background music for videos.