Read full publication. Published by Gil Geva, Olivier Warusfel, Shlomo Dubnov, Tammuz Dubnov, Amir Amedi, Yacov Hel-Or. Abstract: This paper introduces a new approach to sound source localization using head-related transfer function (HRTF) characteristics, which enable precise full-sphere localization from raw data. While previous research focused primarily on using extensive microphone arrays in the frontal […]
By Aliénor Golvet, Louise Goupil, Pierre Saint-Germier, Benjamin Matuszewski, Gérard Assayag, Jérôme Nika, Clément Canonne. Psychology of Aesthetics, Creativity, and the Arts, 2024, 18 (2), pp.182 Read full article Abstract: Agents engaged in creative joint actions might need to find a balance between the demands of doing something collectively, by adopting congruent and interacting behaviors, […]
Read full publication. Published by Pierre Saint-Germier, Clément Canonne, Marco Fiorini. Abstract: Si l’on prend au sérieux les recherches menées en sciences cognitives sous la bannière de l’Embodied Cognition Program les approches strictement logicielles en IA musicale, par opposition aux approches robotiques, semblent souffrir d’une limitation intrinsèque en se coupant des ressources que représente l’incarnation […]
Bonini Baraldi, Filippo Read original article The Second Symposium of the International Council for Traditional Music (ICTM)—in August 2023 renamed into International Council for Traditions of Music and Dance (ICTMD)—Study Group on Sound, Movement, and the Sciences (SoMoS) took place in a hybrid format between 26 and 28 October 2022, hosted by Universitat Autònoma de Barcelona […]
Read full publication. Published by Weihan Xu, Julian McAuley, Shlomo Dubnov, Hao-Wen Dong. Abstract: The »pretraining-and-finetuning » paradigm has become a norm for training domain-specific models in natural language processing and computer vision. In this work, we aim to examine this paradigm for symbolic music generation through leveraging the largest ever symbolic music dataset sourced from […]
Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, & Shlomo Dubnov. (2023). Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction. Proceedings of the 24th International Society for Music Information Retrieval Conference, 657‑663. Full publication Download publication Abstract: In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance. […]
Nicolas Brochec, Tsubasa Tanaka. Toward Real-Time Recognition of Instrumental Playing Techniquesfor Mixed Music: A Preliminary Analysis. International Computer Music Conference (ICMC 2023),Oct 2023, Shenzhen, China. ffhal-04263718f Full publication Download PDF Abstract: In contemporary mixed music, real-time digital sound processing is often applied to live instrumental performances. However, switching between sound effects often relies on manual […]
Marc Chemillier et Yuri Prado, L’hybridité vue à partir du sujet : le cas de Charles Kely Zana-Rotsy et l’ »open gasy », Cahiers d’ethnomusicologie, n° 36, 2023, pp. 125-143 (preprint). Full publication: Full text document will be published online on October 2024. Abstract: Bien que les musiques du monde, en tant qu’elles représentent particulièrement bien les processus d’échanges […]
Devansh Zurale, Shlomo Dubnov, Learning Sub-Dimensional HRTF Representations Towards Individualization Applications-Traditional and Deep Learning Approaches, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Mohonk Mountain House, New Paltz, NY, USA, 2023 Full publication Abstract: Individualized Head Related Transfer Functions (HRTFs) are indispensable in order to accurately reproduce spatial audio over headphones. […]
Basica, C., Verma, P., Alessandrini, P., & Berceanu, A. (2023). Accessible Co-Creativity with AI through Language and Voice Input. The International Conference on AI and Musical Creativity @ The University of Sussex (AIMC), 2023. Full publication Abstract: This project introduces a set of tools for humans to co-create music with AI-based architectures. The aim is […]