Marco Fiorini, Improvised Musical Interaction with Creative Agents, Aalborg University Copenhagen, Juin 2023 Full publication Download publication Abstract: This thesis was written as the final project of the Master of Science in Sound and Music Computing at Aalborg University Copenhagen. The presented work has been carried out in the Music Representations team at IRCAM – […]
Read full publication. Published by Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian McAuley, Taylor Berg-Kirkpatrick. Abstract: Existing approaches for generating multitrack music with transformer models have been limited in terms of the number of instruments, the length of the music segments and slow inference. This is partly due to the memory requirements of the lengthy […]
Marc Chemillier (CAMS-EHESS), Yohann Rabearivelo (CAMS-EHESS), Rémi Jaylet (Télécom Paris), contact: chemilli@ehess.fr Read full publication Abstract: In this paper we present a research dealing with musical improvisation practices on TikTok as part of a project devoted to the development of a music improvisation software. Finding musicians to experiment with led us to explore the musical collaborations […]
Yusong Wu, K. Chen, T. Zhang, Y. Hui, T. Berg-Kirkpatrick and S. Dubnov, « Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation, » ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095969. Full publication Abstract: Contrastive learning has shown remarkable success in the […]
HAo-Wen Dong, K. Chen, S. Dubnov, J. McAuley and T. Berg-Kirkpatrick, « Multitrack Music Transformer, » ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10094628. Full publication Abstract: Existing approaches for generating multitrack music with transformer models have been limited in terms of the […]
Shlomo Dubnov, Vignesh Gokul, Gérard Assayag. Switching Machine Improvisation Models by Latent Transfer Entropy Criteria. Physical Sciences Forum, 2023, 5 (1), pp.49. ff10.3390/psf2022005049ff.ffhal-04010744 Full publication Abstract: Music improvisation is the ability of musical generative systems to interact with either another music agent or a human improviser. This is a challenging task, as it is not trivial […]
Read full publication. Published by Shlomo Dubnov, Vignesh Gokul, Gérard Assayag. Abstract: Music improvisation is the ability of musical generative systems to interact with either another music agent or a human improviser. This is a challenging task, as it is not trivial to define a quantitative measure that evaluates the creativity of the musical agent. […]
Lire l’article intégral sur HAL Article pour la Revue Francophone d’Informatique et Musique, 2020, n° 7-8 – Culture du code. Une pertinence musicale portée à la fois par des agents humains et artificiels qui coopèrent estelle possible, en particulier dans une démarche qui dépasse les rigidités de genre et de disciplines ? L’auteur part de […]
Marc Chemillier et Yohann Rabearivelo, « Valeur de la musique sur TikTok et nouvelles pratiques musicales », Volume !, 20 : 1 | 2023, 107-121. Full publication Abstract: With a powerful algorithm and creative features available to its users, TikTok is a platform for publishing short audiovisual content that has made a name for itself […]
Dominique Costa, Séraphin Costa, Mikhail Malt, Marc Chemillier, Gerard Assayag, Machine-Musician Co-improvisation: A Djazz Incursion into Flamenco, Filippo Borini Baraldi (eds.), Proceedings of the Second Symposium of the ICTM Study Group on Sound, Movement, and the Sciences (SoMoS), Barcelona, October 26, 2022, published 2023, p. 59-62.h Full publication Download publication Abstract: Flamenco is a traditional […]
