Probabilistic Models for Melodic Prediction

Probabilistic Models for Melodic Prediction (2008)

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by Jean-francois Paiement A , Douglas Eck C , Samy Bengio B , Jean-francois Paiement , Samy Bengio , Douglas Eck

BibTeX

@MISC{A08probabilisticmodels,
    author = {Jean-francois Paiement A and Douglas Eck C and Samy Bengio B and Jean-francois Paiement and Samy Bengio and Douglas Eck},
    title = {Probabilistic Models for Melodic Prediction},
    year = {2008}
}

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Abstract

submitted for publication Abstract. Chord progressions are the building blocks from which tonal music is constructed. The choice of a particular representation for chords has a strong impact on statistical modeling of the dependence between chord symbols and the actual sequences of notes in polyphonic music. Melodic prediction is used in this paper as a benchmark task to evaluate the quality of four chord representations using two probabilistic model architectures derived from Input/Output Hidden Markov Models (IOHMMs).2 IDIAP–RR 08-50 1

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