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.
Efficient representa- tion and sparse sampling of head-related transfer functions using phase- correction based on ear alignment
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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.