Perceptual Evaluation of Mitigation Approaches of Impairments Due to Spatial Undersampling in Binaural Rendering of Spherical Microphone Array Data: Dry Acoustic Environments
Employing a finite number of discrete microphones, instead of a
continuous distribution according to theory, reduces the physical
accuracy of sound field representations captured by a spherical microphone array. For a binaural reproduction of the sound field, a
number of approaches have been proposed in the literature to mitigate the perceptual impairment when the captured sound fields are
reproduced binaurally. We recently presented a perceptual evaluation of a representative set of approaches in conjunction with reverberant acoustic environments. This paper presents a similar study
but with acoustically dry environments with reverberation times
of less than 0.25 s. We examined the Magnitude Least-Squares
algorithm, the Bandwidth Extraction Algorithm for Microphone
Arrays, Spherical Head Filters, spherical harmonics Tapering, and
Spatial Subsampling, all up to a spherical harmonics order of 7.
Although dry environments violate some of the assumptions underlying some of the approaches, we can confirm the results of
our previous study: Most approaches achieve an improvement
whereby the magnitude of the improvement is comparable across
approaches and acoustic environments.