Gonzalo Romero-García. Mathematical Morphology for the Analysis and Generation of TimeFrequency Representations of Music. Signal and Image Processing. Sorbonne Université, 2023. English. ffNNT : 2023SORUS554ff. fftel-04470770f Full publication Download publication Abstract: This thesis explores the application of Mathematical Morphology to the analysis and generation of music, focusing on two time-frequency representations: spectrograms and piano rolls. […]
Read full publication. Published by Vignesh Gokul, Chris Francis, Shlomo Dubnov. Abstract: Co-creativity in music refers to two or more musicians or musical agents interacting with one another by composing or improvising music. However, this is a very subjective process and each musician has their own preference as to which improvisation is better for some […]
Paul Lascabettes & Isabelle Bloch. Discovering Repeated Patterns from Onsets, Third International Conference on Discrete Geometry and Mathematical Morphology, (DGMM), Firenze, Italy, accepted. Full publication Download publication Abstract: This article deals with the discovery of repeated patterns in a multidimensional representation of music using the theory of mathematical morphology. The main idea proposed here is […]
Gil Geva, Binaural sound source localization using a hybrid time and frequency domain model, Master Reichman University, Sept 2023 (direction S. Dubnov, O. Warusfel,G. Assayag) Full publication Download publication 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 […]
Full publication By Gérard Assayag, Laurent Bonnasse-Gahot, Joakim Borg Abstract: Somax2 is an artificial intelligence (AI)-based multiagent system for human–machine co-improvisation that generates stylistically coherent streams while continuously listening and adapting to musicians or other agents. The model on which it is based can be used with little configuration to interact with humans in full autonomy, […]
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 […]
