Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dzwonczyk, Luke"'
In this paper we present the first steps towards the creation of a tool which enables artists to create music visualizations using pre-trained, generative, machine learning models. First, we investigate the application of network bending, the process
Externí odkaz:
http://arxiv.org/abs/2406.19589
Autor:
Dzwonczyk, Luke, Chédin, Léo, Saldarriaga-Fuertes, Alejandro, Sherr, Max, Crayencour, Hélène-Camille, Cella, Carmine-Emanuele
In this paper, we study the possibility of adding source separation as a pre-processing step to the computer-assisted orchestration process. We first discuss the motivation of this addition and its potential to increase the quality of orchestrations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8338674e472cf879406b7464daa28049
Autor:
Cella, Carmine, Dzwonczyk, Luke, Saldarriaga-Fuertes, Alejandro, Liu, Hongfu, Crayencour, Helene-Camille
Publikováno v:
2020 Joint Conference on AI Music Creativity (CSMC + MuMe)
2020 Joint Conference on AI Music Creativity (CSMC + MuMe), Oct 2020, Stockholm, Sweden
2020 Joint Conference on AI Music Creativity (CSMC + MuMe), Oct 2020, Stockholm, Sweden
In this paper we will perform a preliminary exploration on how neural networks can be used for the task of target-based computerassisted musical orchestration. We will show how it is possible to model this musical problem as a classification task and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ded3a2a8ad43b92e711edc04a5a8a0b
https://hal.archives-ouvertes.fr/hal-03059955
https://hal.archives-ouvertes.fr/hal-03059955