PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Composer recognition using language models
María Hontanilla, Carlos Pérez-Sancho and José Iñesta
In: SPPRA 2011, 16-18 Feb 2011, Innsbruck, Austria.

Abstract

In this paper we present an application of language model- ing techniques using n-grams to an authorship attribution task. An stylometric study has been conducted on a pair of datasets of baroque and classical composers, with which other authors performed previously a similar study using a set of musicological features and pattern recognition techniques. In this paper, a simple general-purpose encoding method has been used, in conjunction with language modeling to explore the same problem. The results show that this simpler method can lead to the same conclusions than other more sophisticated methods, even traditional musicological studies, without the need of advanced musicological knowledge for processing the scores.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Information Retrieval & Textual Information Access
ID Code:8523
Deposited By:Carlos Pérez-Sancho
Deposited On:11 February 2012