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.
An overview of machine learning and other data-based methods for spatial audio capture, processing, and reproduction
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.