Markov Chain Sequence Modeling

A lot of research has been done on music generation. Previous attempts at creating music have been successful at reproducing training tracks using a variety of techniques involving time inference models. This research demonstrates that first-order and k-order Markov models can be used to both reproduce and synthesize the music from vintage 8-bit video games, one of the very rare combination of music synthesis using 8-bit temporal inference techniques. The study highlights ways for generating infinite sequential (complex bi-directional) monotones and polytones, on demand along with context structuring. Using proposed approach, Ising model and Metropolis algorithm, any application of sequence modeling can benefit, like marketeers can be provided with the most probable Next-Best-Action to recommend the end user, usually that is not accessible by any conventional sequence models.