Multiple Viewpoint Modeling of North Indian Classical Vocal Compositions
Ajay Srinivasamurthy, Parag Chordia, Georgia Tech · 2012
Abstract. Previous research has shown that ensembles of variable length Markov models (VLMMs), known as Multiple Viewpoint Models (MVMs), can be used to predict the continuation of Western tonal melodies, and outperform simpler, fixed-order Markov models. Here we show that this technique can be effectively applied to predicting melodic continuation in North Indian classical music, providing further evidence that MVMs are an effective means for modeling temporal structure in a wide variety of musical systems.