HRTF individualization: A survey

C Guezenoc, R Seguier - arXiv preprint arXiv:2003.06183, 2020 - arxiv.org
The individuality of head-related transfer functions (HRTFs) is a key issue for binaural
synthesis. While, over the years, a lot of work has been accomplished to propose end-user …

Modeling individual head-related transfer functions from sparse measurements using a convolutional neural network

Z Jiang, J Sang, C Zheng, A Li, X Li - The Journal of the Acoustical …, 2023 - pubs.aip.org
Individual head-related transfer functions (HRTFs) are usually measured with high spatial
resolution or modeled with anthropometric parameters. This study proposed an HRTF …

[HTML][HTML] Head-related transfer function recommendation based on perceptual similarities and anthropometric features

R Pelzer, M Dinakaran, F Brinkmann, S Lepa… - The Journal of the …, 2020 - pubs.aip.org
Individualization of head-related transfer functions (HRTFs) can improve the quality of
binaural applications with respect to the localization accuracy, coloration, and other aspects …

Towards fast and convenient end-to-end HRTF personalization

B Zhi, DN Zotkin, R Duraiswami - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Incorporating individualized head-related transfer functions (HRTFs) into a high fidelity
sound engine can further improve the perceived quality and realism of binaurally-rendered …

Fully perceptual-based 3D spatial sound individualization with an adaptive variational autoencoder

K Yamamoto, T Igarashi - ACM Transactions on Graphics (TOG), 2017 - dl.acm.org
To realize 3D spatial sound rendering with a two-channel headphone, one needs head-
related transfer functions (HRTFs) tailored for a specific user. However, measurement of …

Individualizing head-related transfer functions for binaural acoustic applications

NH Zandi, AM El-Mohandes… - 2022 21st ACM/IEEE …, 2022 - ieeexplore.ieee.org
A Head Related Transfer Function (HRTF) characterizes how a hu-man ear receives sounds
from a point in space, and depends on the shapes of one's head, pinna, and torso. Accurate …

Deep neural networks for cross-modal estimations of acoustic reverberation characteristics from two-dimensional images

H Kon, H Koike - Audio Engineering Society Convention 144, 2018 - aes.org
In augmented reality (AR) applications, reproduction of acoustic reverberation is essential
for creating an immersive audio experience. The audio component of an AR experience …

HRTF Generation for Data Demanding Machine Learning Algorithms

T BENJAMIN - 2023 - etheses.whiterose.ac.uk
This thesis investigates the application of Machine Learning (ML) techniques to binaural
audio research. Whilst there is plenty of work done in this domain currently, much of it is …

AI DevOps for Large-Scale HRTF Predition and Evaluation: An End to End Pipeline

F Shahid, N Javeri, K Jain, S Badhwar - … Conference on Audio for Virtual and …, 2018 - aes.org
Bringing truly immersive 3D audio experiences to the end user requires a fast and a user
friendly method of predicting HRTFs. While machine learning based approaches for HRTF …

Personal active soundfield control (PASCAL) framework

S Kaneko, I Shahid, N Roy, NA Gumerov… - … Conference: 2022 AES …, 2022 - aes.org
ABSTRACT A framework for actively controlling radiated, incident, or local personal sound
fields is presented. It relies on loudspeakers and microphones either worn by the user or …