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Found 2 papers, 1 papers with code
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification
Experiment 1 also investigates aleatoric uncertainties and shows the model on both $\Phi$ and $\Psi$ has mean entropy 0. 927~bits (out of 4~bits) for correct predictions compared to 1. 896~bits for incorrect predictions which, along with entropy histogram shapes, shows the model helpfully indicates where it is uncertain.
HRTF upsampling with a generative adversarial network using a gnomonic equiangular projection
An individualised head-related transfer function (HRTF) is very important for creating realistic virtual reality (VR) and augmented reality (AR) environments.
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