Binaural signal matching with arbitrary array based on a sound field model

AES International Conference on Audio for Virtual and Augmented Reality (AVAR)


The capture and reproduction of spatial audio is becoming increasingly important with the mushrooming of applications in teleconferencing, entertainment, and virtual reality. Two popular methods include High Order Ambisonics (HOA) and beamforming-based binaural reproduction (BFBR), which are mainly studied with spherical arrays. Recently, binaural signal matching (BSM) has been proposed for binaural reproduction with arbitrary arrays. This paper investigates improvement of the method, which is based on a model of the sound field separated into direct and reverberant parts. A simulation study shows that the proposed method improved the performance of the BSM algorithm for some tested acoustic scenarios without the need for additional information about the sound field.

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