A music scene analysis system with the MRF-based information integration scheme

This paper describes the process model for a system that recognizes the rhythm, chords, and source-separated musical notes in monaural music signals. The model consists of multiple processing modules and a MRF (Markov random field)-based hypothesis network for integration of multiple sources of information. Because the MRP enables information to be integrated on a multiply connected hypothesis network, the results of evaluation experiments show that the present system recognizes notes better than does a system based on a singly connected Bayesian hypothesis network