Metodo

International Studies in Phenomenology and Philosophy

Series | Book | Chapter

226945

A probabilistic approach to determining bass voice leading in melodic harmonisation

Dimos MakrisMaximos Kaliakatsos-PapakostasEmilios Cambouropoulos

pp. 128-134

Abstract

Melodic harmonisation deals with the assignment of harmony (chords) over a given melody. Probabilistic approaches to melodic harmonisation utilise statistical information derived from a training dataset to harmonise a melody. This paper proposes a probabilistic approach for the automatic generation of voice leading for the bass note on a set of given chords from different musical idioms; the chord sequences are assumed to be generated by another system. The proposed bass voice leading (BVL) probabilistic model is part of ongoing work, it is based on the hidden Markov model (HMM) and it determines the bass voice contour by observing the contour of the melodic line. The experimental results demonstrate that the proposed BVL method indeed efficiently captures (in a statistical sense) the characteristic BVL features of the examined musical idioms.

Publication details

Published in:

Collins Tom, Meredith David, Volk Anja (2015) Mathematics and computation in music: 5th international conference, MCM 2015, London, UK, June 22-25, 2015. Dordrecht, Springer.

Pages: 128-134

DOI: 10.1007/978-3-319-20603-5_13

Full citation:

Makris Dimos, Kaliakatsos-Papakostas Maximos, Cambouropoulos Emilios (2015) „A probabilistic approach to determining bass voice leading in melodic harmonisation“, In: T. Collins, D. Meredith & A. Volk (eds.), Mathematics and computation in music, Dordrecht, Springer, 128–134.