A collaboration between ERC projects REACH and COSMOS, Elaine Chew and Gérard Assayag present Elez / Boulaine – a semi-improvised dialog between a pianist and generative electronics with real-time visualisation of performer physiology – at Mystery Machines, the closing concert at Mathemusical Encounters in Singapore, an NUS Institute for Mathematical Science workshop. The concert took place at 8pm on […]
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 […]
Go to Somax2 project page at Ircam Somax 2 is an application for musical improvisation and composition. It is implemented in Max and is based on a generative model using a process similar to concatenative synthesis to provide stylistically coherent improvisation, while listening to and adapting to a musician (or any other type of audio […]
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, […]