PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A generative model for rhythms
Jean-Francois Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck
In: NIPS'2007 Music, Brain & Cognition Workshop, 7-8 Dec 2007, Whistler, Canada.

Abstract

In order to cope for the difficult problem of long term dependencies in sequential data in general, and in musical data in particular, a generative model for distance patterns especially designed for music is introduced. A specific implementation of the model when considering Hamming distances over rhythms is described. The proposed model consistently outperforms a standard Hidden Markov Model in terms of conditional prediction accuracy over two different music databases.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:3429
Deposited By:Yves Grandvalet
Deposited On:10 February 2008