Methods for combining statistical models of music

Authors:
Marcus Pearce;Darrell Conklin;Geraint Wiggins
Affiliations:
Centre for Computational Creativity, City University, London, UK;Centre for Computational Creativity, City University, London, UK;Centre for Computational Creativity, City University, London, UK
Venue:
CMMR'04 Proceedings of the Second international conference on Computer Music Modeling and Retrieval
Year:
2004

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Abstract

The paper concerns the use of multiple viewpoint representation schemes for prediction with statistical models of monophonic music. We present an experimental comparison of the performance of two techniques for combining predictions within the multiple viewpoint framework. The results demonstrate that a new technique based on a weighted geometric mean outperforms existing techniques. This finding is discussed in terms of previous research in machine learning.