Gaussian process regression with physics-aware deep composite kernels models steering vectors continuously over frequency and positions, attaining oracle performance in speech enhancement and binaural rendering with under ten times fewer measurements than dense sampling.
A bayesian framework for the estimation of head-related transfer functions
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Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented Listening
Gaussian process regression with physics-aware deep composite kernels models steering vectors continuously over frequency and positions, attaining oracle performance in speech enhancement and binaural rendering with under ten times fewer measurements than dense sampling.