Unsupervised music understanding based on nonparametric Bayesian models

This paper presents a new research framework for unsupervised music understanding. Our goal is to recognize musical notes from polyphonic audio signals and simultaneously induce grammatical patterns from the recognized notes by integrating probabilistic acoustic and language models. Given music audio signals, both models could be jointly trained in a self… CONTINUE READING