Active Engineering

AURORA³ (Anechoic & Universal Research Observation Rooms for Audio, Acoustics & AI)

In plain English

AI plain-English summary

The UK’s new AURORA³ facility will let researchers dial up a church-like echo or a dead-quiet studio at the push of a button, all in one room. This matters because the UK acoustics industry—worth £4.6 billion and employing over 16,000 people—is being held back by a data shortage. Spatial audio and machine learning need vast amounts of high-quality recordings made under realistic acoustic conditions, but current infrastructure forces researchers to choose between simulated data that doesn’t match real life, or real-world data that lacks variety. Moving equipment and people to different locations is too expensive and impractical. If AURORA³ succeeds, it will unlock benefits across several sectors. Virtual and augmented reality experiences for entertainment, remote work, and virtual prototyping could become far more immersive. Consumer electronics like smart speakers and hearing aids could get better at recognising speech and filtering out noise, adapting to whatever room they are in. The facility combines a variable-acoustics room with adjustable panels and a moving wall, plus a specialised anechoic chamber with a spherical loudspeaker array, enabling fast, reproducible data collection under fully controlled conditions.

View original technical description
The UK acoustics industry directly accounts for over 16,000 jobs and £4.6 billion of GDP and contributes to vibrant growth sectors of the UK economy: communication technologies, consumer electronics, healthcare, and the creative industries. We are witnessing a transformation of this industry through two key technologies — spatial audio and machine learning (ML). Over the past decade, spatial audio has become a cornerstone of media platforms and user experiences, featured in technologies ranging from Dolby Atmos sound on Netflix and Apple AirPods, to second-generation virtual/augmented reality headsets, live music performances, and art installations. More recently, ChatGPT’s media explosion has brought the capabilities of artificial intelligence (AI) into the popular consciousness, heralding the ferocious potential of ML technologies. Despite exciting advancements in audio, acoustics, and AI, a main obstacle is stifling research—scarcity of data resources. This data can take several forms, from audio recordings under various acoustic conditions to human responses to auditory stimuli. Current infrastructure in the UK is not set up to efficiently capture such data, forcing the research community into relying either on large, simulated datasets which may not match real-world conditions, or on real-world datasets that have limited variability in terms of room acoustic conditions. This is problematic because the effectiveness of ML and spatial audio methods hinges on the availability of large (in the case of ML, vast) quantities of high-quality, diverse data collected under realistic acoustic conditions. The alternative, i.e. relocating people and audio equipment to record data in many different locations, is expensive and impractical. Embedded within the established research strengths around spatial sound perception and ML in audio at Surrey, AURORA³ (pronounced “aurora cubed” or simply “aurora”) aims to overcome this data resourcing challenge and establish next-generation strategic infrastructure. AURORA³ will combine state-of-the-art audio equipment and facilities for rigorous, yet precise control over a wide range of acoustic conditions: a variable acoustics room equipped with adjustable wall panels that can transform the acoustics of the room at the push of a button—from church-like reverberance to studio-like dryness—and a moving wall for modifying the room volume; an acoustic anechoic chamber tailored to spatial audio applications, featuring a semi-permanent spherical loudspeaker array for investigating interactions with simulated or recorded environments and soundscapes. Together, these facilities will enable full acoustic environment control for fast, accurate and reproducible physical and perceptual data collection. Technologies developed using AURORA³ will be more robust to different real-world environments and will be able to better model the underlying physical and perceptual phenomena involved in audio and acoustics. This will unlock benefits across a range of applications, including (a) more immersive Virtual/Augmented/Mixed Reality experiences for entertainment, metaverse, remote communications, and virtual prototyping; (b) more accurate and robust consumer electronics devices for automatic speech recognition, speech enhancement and source separation; and (c) smarter hearing aid devices that better understand and adapt to the acoustic scene.

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Researchers

Christos Chousidis (Co-Investigator)Enzo De Sena (Principal Investigator)Mark Plumbley (Co-Investigator)Philip Jackson (Co-Investigator)Randall Ali (Co-Investigator)Russell Mason (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

AURORA: Controlling sound like we do with light
From OpenAIR to the Open Air: The Application of Virtual Acoustic Techniques in Landscapes and Novel Environments for Computer Games
The Virtual Acoustics and Auralization Database
Scalable Room Acoustic Modelling (SCReAM)
WEb Audio Virtual Environment Rendering (WEAVER): Online Virtual Acoustics for Sonic Art, Digital Heritage, and Broadcast

Original classification

Research and Innovation

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