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Music and Text Generation "in the style of" (en Anglais) | |||
Droits : Droits réservés à l'éditeur et aux auteurs Auteur(s) : PACHET François, Minazio Mathieu Éditeur(s) : INRIA (Institut national de recherche en informatique et automatique) ,Région PACA 21-05-2015 Description : 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. Mots-clés libres : composition musicale,flow machines,outil d'authoring,écriture littéraire,contrainte de Markov | TECHNIQUE Type : image en mouvement Format : video/x-flv Source(s) : rtmpt://fms2.cerimes.fr:80/vod/fuscia/music.and.text.generation.in.the.style.of._18479/music_and_text_generation_in_the_style_of_18479.sd.mp4 | ||
Entrepôt d'origine : Canal-u.fr Identifiant : oai:canal-u.fr:18479 Type de ressource : Ressource documentaire |
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Music and Text Generation "in the style of" (en Anglais) | |||||||||
Identifiant de la fiche : 18479 Schéma de la métadonnée : LOMv1.0, LOMFRv1.0 Droits : libre de droits, gratuit Droits réservés à l'éditeur et aux auteurs. Auteur(s) : PACHET FRANÇOIS Éditeur(s) : INRIA (Institut national de recherche en informatique et automatique), Région PACA, Région PACA, UNS, CNRS - Centre National de la Recherche Scientifique, INRIA (Institut national de recherche en informatique et automatique), Mathieu Minazio 21-05-2015 Description : 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. Mots-clés libres : composition musicale, flow machines, outil d'authoring, écriture littéraire, contrainte de Markov
| PEDAGOGIQUE Type pédagogique : cours / présentation Niveau : master, doctorat TECHNIQUE Type de contenu : image en mouvement Format : video/x-flv Taille : 447.71 Mo Durée d'exécution : 1 heure 26 minutes 32 secondes RELATIONS Cette ressource fait partie de : | ||||||||
Entrepôt d'origine : Canal-u.fr Identifiant : oai:canal-u.fr:18479 Type de ressource : Ressource pédagogique |
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