Elaine Chew was a co-organiser of the Mathemusical Encounters in Singapore (MES2024), which took place 19-23 February 2024, at the NUS Yong Siew Toh Conservatory of Music. Workshop themes included Mathematical & Computational Approaches, Machine Learning, Generativity & Interactivity, Computational Physiology/Medicine, and Education, Learning & Creativity (see program). Computational Physiology / Medicine The new Computational Physiology/Medicine theme featured […]
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 […]
