A simple probabilistic model for tagging music

Rodrigo Borges e Shayenne Moura

This seminar is a presentation of the award article as Best Student Paper of the ISMIR in 2009, called EASY AS CBA: A Probabilistic SIMPLE MODEL FOR TAGGING MUSIC Matthew D. Hoffman, David M. Blei, Perry R. Cook.

Many songs are not associated with well representative tags and this makes the songs recovery process from the tags not be efficient.

We present a probabilistic model that learns to perform automatic prediction that words applies to a song from the timbre features. This method is simple to implement, easy to test and returns results quickly.

Date and time: 
Thursday, September 29, 2016 - 4:00pm