Spatial audio coding (SAC) addresses the need for e cient representation of multichannel audio content. SAC methods are typically based on analyzing inter-channel relationships in the input audio and resynthesizing those same relationships between the output channels. Recently, a method was proposed and demonstrated based on analyzing the input audio scene and describing it without reference to the channel con guration, thereby enabling exible, accurate rendering on arbitrary output systems. In this paper, we provide further mathematical treatment of this universal spatial audio coding system; we develop an analysis-synthesis method based on a linear algebraic model, present an e cient approach for adapting the synthesis to arbitrary speaker con gurations, and describe a straightforward scheme for scalable reduction of the spatial cue data.
https://www.aes.org/e-lib/browse.cfm?elib=13708
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