Music and Text Generation in the style of

Style modeling is becoming an area of research in itself in Artificial  Intelligence,due to the increasing needs for content generation  application. I will present some results obtained in the ERC funded  Flow-Machines projects,in which we attempt to capture,model,and  exploit style at various levels of the musical and text creation  process. I will show some results in modeling style with Markov chains,and constraining the generation to satisfy various structural  properties,necessary to make sequences look natural. The techniques  developed exploit interesting connexions between statistical modeling  and combinatorial optimization. Some of these results,sometimes  striking,also raise new questions about the nature of interesting  sequences,and the mystery of creativity.

Disciplines : Informatique - Programmation et systèmes : Interfaces utilisateurs
Mots-clés : composition musicale,flow machines,outil d'authoring,écriture littéraire,contrainte de Markov
Type de document : image en mouvement
Type de ressource : lecture
Niveau : master,doctorat
Auteurs ou éditeurs : INRIA (Institut national de recherche en informatique et automatique),Région PACA,Région PACA,UNS,CNRS - Centre National de la Recherche Scientifique,François PACHET