Program > Satellite Workshops

EUSIPCO 2024 hosts two satellite workshops:

  • Thurday, August 29: 1st Listener Acoustic Personalization Challenge

  • Friday, August 30, 2 PM-6 PM: Data, indicators and models of historical and contemporary economic dynamics


1st Listener Acoustic Personalization Challenge

Main Organizers: Michele Geronazzo (University of Padova) and Lorenzo Picinali (Imperial College London).

Description and Motivations

Personalised Head-Related Transfer Functions (HRTFs) have been shown to enhance auditory localization and immersion in mixed realities. However, relevant issues, such as the accurate acquisition of user-specific anatomical
data, efficient simulation algorithms, and effective user validation, do not converge into a common and internationally recognized benchmark for evaluating HRTFs.

The LAP Challenge endeavours to provide a platform where researchers can explore these challenges, advance state-of-the-art, and contribute to developing standardized metrics for personalised spatial audio. The 2024 inaugural edition will concentrate on two fundamental aspects of HRTF: spatial sampling and interpolation. Teams are
challenged to submit their solutions that address one of two tasks.

  • Task 1. HRTF harmonization for merging different HRTF datasets.
  • Task 2. HRTF spatial up-sampling for obtaining a high-spatial-resolution HRTF from a very low number of directions.

The LAP Challenge is also meant to share and exploit the open outputs of the EU-H2020 FET SONICOM project, which includes the SONICOM HRTF dataset providing HRTF data, headphone transfer functions, 3D scans of ears, head, and torso, and depth images for more than 200 subjects. Additionally, other available resources include the Spatially Oriented Format for Acoustics (AES69SOFA standard), the Auditory Modeling Toolbox (AMT), and the numerical computation tool Mesh2HRTF, to name but a few, also actively supported by the SONICOM project.

Aspiring to become a research community catalyst for HRTF processing, the LAP Challenge will encourage further endeavours in the management and standardisation of spatially oriented acoustics and auditory data through an engaging and competitive initiative involving several signal processing communities.


Data, indicators and models of historical and contemporary economic dynamics

Proposed by: Cliometrics & Complexity (CAC-IXXI), Institute of Complex Systems, Lyon.
Co-organized by: Cécile Bastidon and Pierre Borgnat.

General aims of the Satellite Workshop

The Cliometrics & Complexity team of the Complex Systems Institute of Lyon is proposing a Satellite Workshop on the ”Data, indicators and models of historical and contemporary economic dynamics”, aiming to contribute bridging the gap between Social sciences and Signal processing. In a few words, the Cliometrics and Complexity team brings together researchers from two main fields: i) Physics and applied mathematics and ii) Cliometrics (i.e. quantitative economic history), history and economics. This cross-fertilization enables to apply modeling and data processing methods to Social science issues, on the one hand; and to explore specific applications of graph and signal processing methods, in particular, to fields where they are little used to date, on the other hand.

The Satellite Workshop develops 3 themes corresponding to broad fields of application of complexity economics methods, including the design of indicators of volatility, systemic risk and crises; the use of multivariate segmentation and multivariate regimes modelling for the identification of economic cycles; and specific machine learning methods for historical and spatial socio-economic data. For each theme, 3 papers present different disciplinary perspectives.

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