Summary
Extended Reality (XR) refers to the technology which creates a 3D immersive environment where a user can perceive and interact with virtual objects by means of a head mounted display. Even though XR is still an active research area, its European market has already reached an estimated worth of €34 million, employing up to 480,000 people. It is expected that a mature XR infrastructure will raise the standards for remote working by enabling functional virtual workspaces, which could stimulate the European economy by offering equal opportunities to workers regardless of geography, and reduce greenhouse gas emissions due to less commuting, which is in line with European goals. A key part of XR is spatial audio, or sound signals which the user perceives as if they come from specific locations in a 3D space. Realistic spatial audio can be computationally expensive, particularly when simulating reverberation, i.e. the interaction of a sound source and the environment. This project investigates how humans perceive spatial reverberation to build more efficient rendering methods which enable high-quality spatial audio on XR. To that end, a novel reverberation encoding technique is proposed, based on a variable order Ambisonics framework, and a model for sound localisation in reverberation will be developed, which is expected to be a significant advancement in the field of auditory perception. The project will take place at a leading multidisciplinary group specialised on real-time spatial audio processing and who can offer excellent international collaboration opportunities. The researcher will bring skills on evaluation of spatial reverberation and inter-sectoral experience from having worked at a world leading research group within the industry, which will facilitate the transfer of knowledge. The proposed work will expand the researcher’s experience, competencies and professional networks, potentiating the development of his career as an independent researcher.
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Web resources: | https://cordis.europa.eu/project/id/101063596 |
Start date: | 01-09-2023 |
End date: | 31-08-2025 |
Total budget - Public funding: | - 181 152,00 Euro |
Cordis data
Original description
Extended Reality (XR) refers to the technology which creates a 3D immersive environment where a user can perceive and interact with virtual objects by means of a head mounted display. Even though XR is still an active research area, its European market has already reached an estimated worth of €34 million, employing up to 480,000 people. It is expected that a mature XR infrastructure will raise the standards for remote working by enabling functional virtual workspaces, which could stimulate the European economy by offering equal opportunities to workers regardless of geography, and reduce greenhouse gas emissions due to less commuting, which is in line with European goals. A key part of XR is spatial audio, or sound signals which the user perceives as if they come from specific locations in a 3D space. Realistic spatial audio can be computationally expensive, particularly when simulating reverberation, i.e. the interaction of a sound source and the environment. This project investigates how humans perceive spatial reverberation to build more efficient rendering methods which enable high-quality spatial audio on XR. To that end, a novel reverberation encoding technique is proposed, based on a variable order Ambisonics framework, and a model for sound localisation in reverberation will be developed, which is expected to be a significant advancement in the field of auditory perception. The project will take place at a leading multidisciplinary group specialised on real-time spatial audio processing and who can offer excellent international collaboration opportunities. The researcher will bring skills on evaluation of spatial reverberation and inter-sectoral experience from having worked at a world leading research group within the industry, which will facilitate the transfer of knowledge. The proposed work will expand the researcher’s experience, competencies and professional networks, potentiating the development of his career as an independent researcher.Status
SIGNEDCall topic
HORIZON-MSCA-2021-PF-01-01Update Date
09-02-2023
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