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Journal Articles Journal of New Music Research Year : 2013

Melody harmonisation with interpolated probabilistic models

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Abstract

Most melody harmonisation systems use the generative hidden Markov model (HMM), which model the relation between the hidden chords and the observed melody. Relations to other variables, such as the tonality or the metric struc- ture, are handled by training multiple HMMs or are ignored. In this paper, we propose a discriminative means of combining multiple probabilistic models of various musical variables by means of model interpolation. We evaluate our models in terms of their cross-entropy and their performance in harmonisation experiments. The proposed model o ered higher chord root accuracy than the reference musicological rule-based harmoniser by up to 5% absolute.
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Dates and versions

hal-00876128 , version 1 (23-10-2013)

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Stanislaw Raczynski, Satoru Fukayama, Emmanuel Vincent. Melody harmonisation with interpolated probabilistic models. Journal of New Music Research, 2013, 42 (3), pp.223-235. ⟨10.1080/09298215.2013.822000⟩. ⟨hal-00876128⟩
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