This paper describes a method for implementing immersive audio rendering filters for multiple listeners simultaneously. In particular, the paper focuses on the case of two listeners and four loudspeakers to determine the optimum weighting vectors for the necessary FIR filters using the least-mean squares (LMS) adaptive algorithm. It also presents the results of four different adaptive filter implementations which can deliver a binaural audio signal to each listener's ears for two different situations. The first situation renders a virtual source in the same direction for both listeners; and the second one renders the virtual source at different directions for each listener. Several signal processing and implementation issues are presented. Results are presented for the general case in which each listener is seated at an arbitrary position relative to the loudspeakers as well as for the simpler to implement symmetric case in which each listener is seated at the center of each loudspeaker pair.:
https://www.aes.org/e-lib/browse.cfm?elib=9155
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