Probabilistic Models for Melodic Prediction

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).


Year:
2008
Publisher:
IDIAP
Note:
Submitted for publication
Laboratories:




 Record created 2010-02-11, last modified 2018-09-13

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