However, the lower computational complexity goes along with lower flexibility. Results of the technical evaluation show that the presented approach is equivalent to conventional rendering methods while being computationally less demanding and easier to implement using any real-time convolution system. The proposed method allows representing any common rendering chain as a set of precomputed finite impulse response filters, which are then applied to the SMA signals in real-time using fast convolution to produce the binaural signals. This paper presents a computationally more efficient method for real-time binaural rendering of SMA signals by linear filtering. However, these rendering methods are computationally demanding, especially for high-order SMAs, and require implementing quite sophisticated real-time signal processing. Common methods for binaural rendering first spatially encode the sound field by transforming it to the spherical harmonics domain and then decode the sound field binaurally by combining it with head-related transfer functions (HRTFs). The captured sound field can be reproduced over headphones in real-time using binaural rendering, virtually placing a single listener in the sound field. Typically, a spherical microphone array (SMA) is used to capture a spatial sound field.
High-quality rendering of spatial sound fields in real-time is becoming increasingly important with the steadily growing interest in virtual and augmented reality technologies.
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