Titre :

Co-creative orchestration of Angeles with layer scores and orchestration plans

Auteur(s) :

Maccarini, Francesco [Auteur]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Oudin, Maël [Auteur]
McGill University = Université McGill [Montréal, Canada]
Giraud, Mathieu [Auteur]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Leve, Florence [Auteur]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la manifestation scientifique :

International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART 2024)

Ville :

Aberystwyth

Pays :

Royaume-Uni

Date de début de la manifestation scientifique :

2024

Mot(s)-clé(s) en anglais :

Orchestration
Computational Creativity
Music Generation

Discipline(s) HAL :

Sciences cognitives/Informatique
Informatique [cs]/Algorithme et structure de données [cs.DS]
Informatique [cs]/Apprentissage [cs.LG]
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène

Résumé en anglais : [en]

Orchestration is the process of creating music for a group of instruments, combining, blending, and contrasting their sounds to produce a unique orchestral texture. In this research/creation project, our team was commissioned ...
Lire la suite >Orchestration is the process of creating music for a group of instruments, combining, blending, and contrasting their sounds to produce a unique orchestral texture. In this research/creation project, our team was commissioned an AI/human orchestration of two movements of Angeles, a piano composition by Gissel Velarde. The project turned out as a perfect case study for computational creativity in music and orchestration, where the role of the model is between "AI as a colleague" and "AI as a tool". By modeling a layer score and an orchestration plan in the orchestration process, we implement a simple Markov model that selects possible instrumentations for each score segment.Personalization of the AI and AI/human interaction occur through human segmentation of the score at two stages of the process (layer score, orchestral segments with loudness profile), through instrumentation presets, and finally through selection of the final orchestral plan and through the actual orchestration. We detail the research aspects of this co-creative project and analyze the roles of the actors involved in the creation of the final piece: the Music Information Retrieval (MIR) researchers, the orchestrator, and the algorithms.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL