Networked microcontrollers for accessible, distributed spatial audio

State-of-the-art systems for spatial and immersive audio are typically very costly, being reliant on specialist audio hardware capable of performing computationally intensive signal processing and delivering output to many tens, if not hundreds, of loudspeakers. Centralised systems of this sort suffer from limited accessibility due to their inflexibility and expense. Building on the research of the past few decades in the transmission of audio data over computer networks, and the emergence in recent years of increasingly capable, low-cost microcontroller-based development platforms with support for both networking and audio functionality, we present a prototype decentralised, modular alternative. Having previously explored the feasibility of running a microcontroller device as a networked audio client, here we describe the development of a client-server system with improved scalability via multicast data transmission. The system operates on ubiquitous, commonplace computing and networking equipment, with a view to it being a simple, versatile, and highly-accessible platform, capable of granting users the freedom to explore audio spatialisation approaches at vastly reduced expense. Though faced by significant technical challenges, particularly with regard to maintaining synchronicity between distributed audio processors, the system produces perceptually plausible results. Findings are commensurate with a capability, with further development and research, to disrupt and democratise the fields of spatial and immersive audio.

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Institutions

Publication Details

Journal
Frontiers in Virtual Reality
Published
2024-11-08
DOI
https://doi.org/10.3389/frvir.2024.1391987
Citations
1
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.25

Funders

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article

Networked microcontrollers for accessible, distributed spatial audio

Tanguy Risset, Stefania Serafin, Stéphane Letz, Romain Michon et al.
1 citations
Frontiers in Virtual Reality
Music Technology and Sound Studies
0.25
article

Networked microcontrollers for accessible, distributed spatial audio

Tanguy Risset, Stefania Serafin, Stéphane Letz, Romain Michon, Thomas Albert Rushton
article en
1 citations

Abstract

State-of-the-art systems for spatial and immersive audio are typically very costly, being reliant on specialist audio hardware capable of performing computationally intensive signal processing and delivering output to many tens, if not hundreds, of loudspeakers. Centralised systems of this sort suffer from limited accessibility due to their inflexibility and expense. Building on the research of the past few decades in the transmission of audio data over computer networks, and the emergence in recent years of increasingly capable, low-cost microcontroller-based development platforms with support for both networking and audio functionality, we present a prototype decentralised, modular alternative. Having previously explored the feasibility of running a microcontroller device as a networked audio client, here we describe the development of a client-server system with improved scalability via multicast data transmission. The system operates on ubiquitous, commonplace computing and networking equipment, with a view to it being a simple, versatile, and highly-accessible platform, capable of granting users the freedom to explore audio spatialisation approaches at vastly reduced expense. Though faced by significant technical challenges, particularly with regard to maintaining synchronicity between distributed audio processors, the system produces perceptually plausible results. Findings are commensurate with a capability, with further development and research, to disrupt and democratise the fields of spatial and immersive audio.

Frontiers in Virtual RealityVol. 5
Conservatoire national supérieur de musique et de danse de Lyon (FR), Institut National des Sciences Appliquées de Lyon (FR), Aalborg University (DK)
Agence Nationale de la Recherche
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Music Technology and Sound Studies
0.25
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