Direct and Inverse Inference in Music Databases: How to Make a Song Funk?

We propose an algorithm for exploiting statisticalproperties of large-scale metadata databases about musictitles to answer musicological queries. We introduce twoinference schemes called “direct” and “inverse” inference,based on an efficient implementation of a kernelregression approach. We describe an evaluationexperiment conducted on a large-scale database of fine-grained musical metadata. We use this database to trainthe direct inference […]

In-depth analysis of the Naming Game dynamics: the homogeneous mixing case

Language emergence and evolution have recently gained growing attention through multi-agent models and mathematical frameworks to study their behavior. Here we investigate further the Naming Game, a model able to account for the emergence of a shared vocabulary of form-meaning associations through social/cultural learning. Due to the simplicity of both the structure of the agents […]