Tzu-Hsuan Kuo

Autoencoding HRTFS for DNN Based HRTF Personalization Using Anthropometric Features

We proposed a deep neural network (DNN) based approach to synthesize the magnitude of personalized head-related transfer functions (HRTFs) using anthropometric features of the user. To mitigate the over-fitting problem when training dataset is not very large, we built an autoencoder for dimensional…