Explicit encoding of temporal dynamics for interpretable melody similarity modeling: insight into machine learning models
Introduction Temporal melody similarity is a fundamental problem in music modelling, and current methods are mostly based on recurrent or attention-based architectures that implicitly learn sequential structures. Methods This work adopts an explicit feature-representation approach using temporal-style descriptors, incl...