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paco-en [2018/05/18 17:11] Jean Bresson [PEPS I3A: Machine Learning and Computer-Aided Composition] |
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| - | ====== PEPS I3A: Machine Learning and Computer-Aided Composition ==== | ||
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| - | [ EN ] | [ [[paco|FR]] ] | ||
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| - | **Projet Exploratoire Premier Soutien ([[http://www.cnrs.fr/ins2i/spip.php?article2867|PEPS]]) 2018: Intelligence Artificielle et Apprentissage Automatique**\\ | ||
| - | // Processus d'Apprentissage en Composition assistée par Ordinateur // | ||
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| - | As soon as the first computers appeared, contemporary music creation | ||
| - | started to utilize the newly offered possibilities for computation and | ||
| - | representation, to expand the range of compositional and sonic options, | ||
| - | both enriching the power of expression for musicians and the musical | ||
| - | experience of listeners. The beginnings of what would later be called | ||
| - | computer music were inspired by artificial intelligence, the very idea | ||
| - | of programming machines capable of composing, rivalling the creativity | ||
| - | of their creators. We might find the same idea reappearing also in | ||
| - | recent projects, both ambitious and profiled. | ||
| - | However, the notion of learning has rarely been exploited by composers | ||
| - | in the perspective of being an aid to creation. In the field of | ||
| - | computer-assisted composition, mistrust of one certain dispossession in | ||
| - | the creative act has instead led researchers and composers to turn to | ||
| - | constructivist approaches and other aspects of information technology, | ||
| - | such as that of end-user programming (ie. giving the end-user of a | ||
| - | system the ability to program the system themselves) and visual | ||
| - | programming languages. | ||
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| - | The aim of this exploratory project is to study the potential applications | ||
| - | of machine learning techniques in computer-assisted music | ||
| - | composition. In contrast to a more widespread approach of designing | ||
| - | more or less self-contained creative systems, we are interested here in | ||
| - | the potential contribution of AI and learning as an assistant to | ||
| - | composition (or music analysis), in the accomplishment of tasks such as | ||
| - | classification and processing of "musical gestures" (temporal | ||
| - | descriptors, melodies, graphic inputs), aiding decisions or explorations | ||
| - | of solution spaces from operational search algorithms, or the generation | ||
| - | of structure and musical parameters from sample databases. The | ||
| - | applications envisaged can be linked to a range of stages and activities | ||
| - | in a compositional workflow: rhythmic analysis and quantification, | ||
| - | composition by recomposition/concatenation of motifs etc., for which | ||
| - | machine learning will propose new ways of controlling, generating and | ||
| - | understanding musical structures. | ||
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| - | **STMS Laboratory: IRCAM/CNRS/Sorbonne Université** (Paris, France)\\ | ||
| - | **Coordinator:** [[http://repmus.ircam.fr/bresson|Jean Bresson]]\\ | ||
| - | **Participants:** | ||
| - | [[http://imtr.ircam.fr/imtr/Diemo_Schwarz|Diemo Schwarz]] (Sound-Music-Movement Interaction team), | ||
| - | [[http://recherche.ircam.fr/anasyn/obin/|Nicolas Obin]] (Sound Alysis and Synthesis team) | ||
| - | Paul Best (Master's internship, RepMus / ISMM teams), | ||
| - | [[http://www.alirezafarhang.com/|Alireza Farhang]] (IRCAM musical research residency), | ||
| - | [[https://avinjar.no/|Anders Vinjar]] (composer, Oslo), | ||
| - | [[http://www.music.mcgill.ca/marlonschumacher/|Marlon Schumacher]] (Institut für Musikwissenschaft und MusikinformatikKarlsruhe, Hochschule für Musik Karlsruhe) | ||
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| - | ===== Links and events ===== | ||
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| - | **• Workshop @SMC'18: [[.:smc-workshop|Music Composition & Creative Interaction with Machine Learning]]**\\ | ||
| - | [[http://smc2018.cut.ac.cy/|15th Sound and Music Computing conference]], July 4-7 2018, Limassol, Cyprus. | ||
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| - | **• Traces de l'expressivité : partition de flux de données gestuelles pour les œuvres interdisciplinaires**\\ | ||
| - | Alireza Farhang: [[https://www.ircam.fr/person/alireza-fahrang/|IRCAM musical research residency]] | ||
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| - | **• Applications of Machine Learning in Computer-Aided Composition**\\ | ||
| - | Paul Best: [[http://repmus.ircam.fr/bresson/enseignement/stage2018|Master's intesrnship — supervision Jean Bresson and Diemo Schwarz]]\\ | ||
| - | With support from IRCAM "Unités Projet Innovation" (UPI) program. | ||
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| - | **• OM-XMM:** connection between the [[https://openmusic-project.github.io/|o7]] computer-aided composition environment and the [[http://ircam-rnd.github.io/xmm/|XMM]] library for motion learning and recognition.\\ | ||
| - | => [[https://github.com/openmusic-project/om-xmm|See on GitHub]] | ||