Paul Lascabettes, Elaine Chew & Isabelle Bloch. Characterizing and Interpreting Music Expressivity through Rhythm and Loudness Simplices, International Computer Music Conference (ICMC 2023), Shenzen, China 2023. Full publication Download publication Abstract: Characterizing and interpreting expressivity in performed music remains an open problem. In this paper, we explore the novel representation of recorded performances of triple […]
Research
Improtech @ Uzeste 2023 !
Read original article Workshop – Festival : Uzeste, France 11-13 Août 2023 Facebook / Instagram Improtech est à la fois un festival musicale et un workshop interdisciplinaire réunissant des acteurs de la recherche et de la création du monde entier favorisant l’improvisation musicale en interaction avec les intelligences numériques, dans une démarche assumée de co-créativité homme-machine. Après des éditions remarquées à New York, Philadelphie […]
Festival Uzeste musical : l’impro pour créer et résister de retour en Gironde
Article complet sur le site de l’Humanité (réservé aux abonnés) Extrait Le rideau se lève ce vendredi 11 août pour le festival Uzeste Musical dans le sud de la Gironde pour neuf journées denses de performances transartistiques conçues par la Compagnie Lubat et ses partenaires. Cette 46e édition s’ouvre par le festival Improtech, une première […]
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
Read full publication. Published by Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. Abstract: In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance. In this paper, we propose an input feature modification and a training objective modification based on two assumptions. First, harmonics in […]
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies
Ke Chen, K., Wu, Y., Liu, H., Nezhurina, M., Berg-Kirkpatrick, T., and Dubnov, S., MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies, arXiv preprint,, 2023. doi:10.48550/arXiv.2308.01546. Full publication Download publication Abstract: Diffusion models have shown promising results in cross-modal generation tasks, including text-to-image and text-to-audio generation. However, generating music, as a special type […]
Somax2 – A Distributed Co-Creative System for Human-Machine Co-Improvisation
Marco Fiorini, Mikhail Malt. Somax2 – A Distributed Co-Creative System for Human-Machine Co-Improvisation. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence HHAI 2023, Jun 2023, Munich, Germany. ⟨hal-04444997⟩ Full publication Download PDF Abstract: Somax2 is a multi-agent interactive system, based on machine-listening, machine learning and generative units, performing live machine co-improvisation with musicians. […]