HRTF Individualization: A Survey

03/13/2020
by   Corentin Guezenoc, et al.
0

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-friendly solutions to HRTF personalization, it remains a challenge. In this article we establish a state-of-the-art of that work. We classify the various proposed methods, review their respective advantages and disadvantages, and, above all, methodically check if and how the perceptual validity of the resulting HRTFs was assessed.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/08/2020

Dataset Augmentation and Dimensionality Reduction of Pinna-Related Transfer Functions

Efficient modeling of the inter-individual variations of head-related tr...
research
02/18/2021

AudioVisual Speech Synthesis: A brief literature review

This brief literature review studies the problem of audiovisual speech s...
research
05/12/2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform

In recent years, there has been rapid development in learned image compr...
research
08/14/2020

Deconfounding and Causal Regularization for Stability and External Validity

We review some recent work on removing hidden confounding and causal reg...
research
06/08/2020

Validating psychometric survey responses

We present an approach to classify user validity in survey responses by ...
research
10/13/2021

Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating

POI recommendation is a key task in tourism information systems. However...
research
09/29/2021

Objective-oriented method for uniformation of various directivity representations

Over recent years, numerous attempts were taken to provide efficient met...

Please sign up or login with your details

Forgot password? Click here to reset