Probabilistic Factor Oracles for Multidimensional Machine Improvisation | Zendy

Ken Déguernel | Zendy; Emmanuel Vincent | Zendy; Gérard Assayag | Zendy

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Probabilistic Factor Oracles for Multidimensional Machine Improvisation

Author(s) -

Ken Déguernel,

Emmanuel Vincent,

Gérard Assayag

Publication year - 2018

Publication title -

computer music journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.219

H-Index - 41

eISSN - 1531-5169

pISSN - 0148-9267

DOI - 10.1162/comj_a_00460

Subject(s) - computer science , probabilistic logic , improvisation , oracle , timbre , interactivity , factor (programming language) , active listening , dimension (graph theory) , human–computer interaction , artificial intelligence , theoretical computer science , musical , multimedia , programming language , mathematics , psychology , communication , art , pure mathematics , visual arts

This article presents two methods to generate automatic improvisation using training over multidimensional sequences. We consider musical features such as melody, harmony, timbre, etc., as dimensions. We first present a system combining interpolated probabilistic models with a factor oracle. The probabilistic models are trained on a corpus of musical work to learn the correlation between dimension...

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