View source for SONICOM

=== SONICOM Project === 
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! CORDIS Reference !! Start date !! End date !! Coordinator
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| https://cordis.europa.eu/project/id/101017743 || 01/01/2021 || 30/06/2026 || IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE / UK
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=== Project description ===
Sound is an integral part of the human experience. As one of the most important ways of sensing and interacting with our environment, sound plays a major role in shaping how the world is perceived. In virtual or augmented reality (VR/AR), simulating spatially correct audio is of vital importance to delivering an immersive virtual experience. However, acoustic VR/AR presents many challenges. Using the power of artificial intelligence, the EU-funded SONICOM project aims to deliver the next milestone in immersive audio simulation. The goal is to design the next generation of 3D audio technologies, provide tailored audio solutions and significantly improve how we interact with the virtual world.

=== Project outputs ===
==== Technological assets ====
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! Title !! Type of Asset !! Link / DOI !! Description
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| The SONICOM HRTF Dataset || Dataset || https://doi.org/10.17743/jaes.2022.0066 || Dataset of Head-Related Transfer Functions for artificial intelligence-driven immersive audio.
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| PAN-AR || Dataset || https://doi.org/10.1145/3678299.3678332 || A multimodal dataset featuring higher-order ambisonics room impulse responses and spherical pictures.
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| NumCalc || Open-Source Software || https://doi.org/10.1016/j.enganabound.2024.01.008 || An open-source Boundary Element Method (BEM) code for solving acoustic scattering problems.
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| Auditory modelling toolbox (AMT) || Software || https://ecosystem.sonicom.eu/tools/1 || Toolbox to facilitate reproducible research in auditory modeling.
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| Frambi || Software Framework || https://doi.org/10.61782/fa.2023.0494 || A flexible software framework tailored for auditory modeling based on Bayesian inference.
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