Convex Non-negative Matrix FactorizationĮxploring various matrix factorization techniques for the automatic music structure analysis of pop songs. Please, download the source code from github.
Music structure segmentation based on the probabilistic approach of the matrix factorization machine learning technique called SI-PLCA (Shift Invariant Probabilistic Latent Component Analysis), using beat-synchronous chroma features. In the lab, we have proposed various methods of music structure analysis: Shift-Invariant Probabilistic Latent Component Analysis The main goal is to automatically segment a specific piece of music into its various sections, and group them based on their acoustic similarity (so that we have section A, B, C, or verse, bridge, chorus, etc). The task of music structure analysis (also known as music segmentation) is a relevant one in the field of Music Informatics.