PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Using Fisher Kernels and Hidden Markov Models for the Identification of Famous Composers from their Sheet Music
David Hardoon, Craig Saunders and John Shawe-Taylor
(2005) Working Paper. none, Southampton, UK.

Abstract

We present a novel kernel which operates directly on the structural data of music notation. The characteristics of the composers writing style are obtained from note changes on a basic beat level, combined with the notes hidden harmony. We are able to extract this information by the application of a Hidden Markov Model to learn the underlying probabilistic structure of the score. We are able to use the model to generate new sheet music based on a specific composer. Furthermore we do an identification comparison using Fisher kernels and a Hidden Markov Model on limited data.

PDF - PASCAL Members only - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Monograph (Working Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1575
Deposited By:David Hardoon
Deposited On:28 November 2005