Quelles sont les applications de l'intelligence artificielle (ia) dans la production musicale ?par Romain Hervy ESRA Bretagne - Bac+3 en technique du son 2023 |
Annexes.Annexe 1 : Guide de prise en main Hit'n'Mix. (c) Hit'n'Mix Ltd 2009-2021 RipX Manual Much of RipX is described by the Interactive Help box which can be activated from the Help menu. It is also a good idea to watch the walkthrough YouTube videos available from Help > YouTube Videos. Contents
1 Lien de téléchargement du manuel : https://bestmusicsheet.com/wp-content/uploads/2022/02/RipX-Manual.pdf Français Guide de Prise en Main 43 sur 51 Annexe 2 : Guide de prise en main iZotope. Lien de téléchargement du manuel : M-AUDIO IZOTOPE RX QUICK START GUIDE: Télécharger le mode d'emploi au format PDF (378 Ko) 44 sur 51 Annexe 3 : Guide de prise en main FAST EQUALISER. Manual Lien de téléchargement du manuel : https://collective.focusrite.com/documents/fast-equaliser.pdf 45 sur 51 Annexe 4 : Guide de prise en main FAST COMPRESSOR. Manual Lien de téléchargement du manuel : https://collective.focusrite.com/documents/fast-compressor.pdf 46 sur 51 Annexe 5 : Guide de prise en main FAST VERB. Manual Lien de téléchargement du manuel : https://collective.focusrite.com/documents/fast-verb.pdf 47 sur 51 Annexe 6 : Guide de prise en main FAST LIMITER. Manual Lien de téléchargement du manuel : https://collective.focusrite.com/documents/fast-limiter.pdf Annexe 7 : Guide de prise en main Smart Eq 3.
48 sur 51 Lien de téléchargement du manuel : https://www.sonible.com/wp-content/uploads/2021/05/manual-smartEQ3-1.pdf 49 sur 51 Annexe 8 : Guide de prise en main Playbeat audiomodern. Windows, MacOS & iOS Getting Started Lien de téléchargement du manuel : // www.mediafire.com/file/ivrkwp2xlo18kpu/Playbeat_3_User_Manual.pdf 50 sur 51 Annexe 9 : Guide de prise en main Algonaut Audio Atlas 2. Lien de téléchargement du manuel : https://algonaut.audio/manuals/atlas/2_0_2/index.html 51 sur 51 Annexe 10 : Article de recherche sur Flow Machines. Assisted music creation with Flow Machines: François Pachet, Pierre Roy, Benoit
Carré Abstract. This chapter reflects on about 10 years of research in AI-assisted music composition, in particular during the Flow Machines project. We reflect on the motivations for such a project, its background, its main results and impact, both technological and musical, several years after its completion. We conclude with a proposal for new categories of «new», created by the many uses of AI techniques to generate novel material. Keywords: Machine-Learning· Markov chains · Applications · Music · global constraints 1 Background and Motivations The dream of using machines to compose music automatically has long been a subject of investigation, by musicians and scientists. Since the 60s, many researchers used virtually all existing artificial intelligence techniques at hand to solve music generation problems. However, little convincing music was produced with these technologies. A landmark result in machine music generation is the Illiac suite, released to the public in 1956 [17]. The Illiac suite demonstrated that Markov chains of a rudimentary species (first order, augmented with basic generate-and-test methods) could be used to produce interesting music1. However, the technology developed for that occasion lacked many fundamental features, to make it actually useable for concrete, professional musical projects. Notably, the experiment involved generate-and-test methods to satisfy various constraints imposed by the authors. Also, the low order of the Markov chain did not produce convincing style imitation. In spite of these many weaknesses, the Illiac suite remains today a remarkable music piece, that can still be listened to with interest. The Flow Machines project (2012-2017) 2 aimed at addressing the core technical issues at stake when generating sequences in a given style. In some sense, it addressed the two main weaknesses of the Markov chains used in the Illiac suite: 1 we invite the reader to listen to the Illiac suite, composed more than 70 years ago, to appreciate its enduring innovative character https://www.youtube.com/watch? v=n0njBFLQSk8 2 funded by an ERC advanced grant, and conducted at Sony CSL and UniversitéPierre et Marie Curie, now Sorbonne Université. Lien de téléchargement de l'article : https://www.francoispachet.fr/wp-content/uploads/2020/05/FlowMachines.pdf |
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