Spatial Upsampling of Head-Related Transfer Function Using Neural Network Conditioned on Source Position and Frequency

A spatial upsampling method for the head-related transfer function (HRTF) using deep neural networks (DNNs), consisting of an autoencoder conditioned on the source position and frequency, is proposed. On the basis of our finding that the conventional regularized linear regression (RLR)-based upsampl...

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Bibliographic Details

Published in:	IEEE Open Journal of Signal Processing
Main Authors:	Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Shuichi Sakamoto, Hiroshi Saruwatari
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Head-related transfer functions deep neural networks upsampling interpolation spatial audio
Online Access:	https://ieeexplore.ieee.org/document/11175492/