Abstract: Arbitrary style transfer (AST) has garnered considerable attention for its ability to transfer styles infinitely. Although existing methods have achieved impressive results, they may ...
Abstract: This paper presents an innovative approach for personalized modeling of Head-Related Transfer Functions (HRTFs) using deep neural networks (DNNs), with a primary focus on addressing ...
The purpose of this module is to provide functions and structures that helps with handling the incoming and outgoing requests to and from the Azure Function host when developing Azure Functions with ...
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