Results 31 to 40 of about 766 (176)

A Bayesian model for human directional localization of broadband static sound sources

open access: yesActa Acustica, 2023
Humans estimate sound-source directions by combining prior beliefs with sensory evidence. Prior beliefs represent statistical knowledge about the environment, and the sensory evidence consists of auditory features such as interaural disparities and ...
Barumerli Roberto   +5 more
doaj   +1 more source

On the improvement of accommodation to non-individual HRTFs via VR active learning and inclusion of a 3D room response

open access: yesActa Acustica, 2021
This study examines the efficiency of a training protocol using a virtual reality application designed to accelerate individual’s selection of, and accommodation to, non-individualized HRTF profiles.
Poirier-Quinot David, Katz Brian F.G.
doaj   +1 more source

Personalized HRTF Modeling Based on Deep Neural Network Using Anthropometric Measurements and Images of the Ear

open access: yesApplied Sciences, 2018
This paper proposes a personalized head-related transfer function (HRTF) estimation method based on deep neural networks by using anthropometric measurements and ear images. The proposed method consists of three sub-networks for representing personalized
Geon Woo Lee, Hong Kook Kim
doaj   +1 more source

Guest Editorial: Special issue on media convergence and intelligent technology in the metaverse

open access: yes, 2023
CAAI Transactions on Intelligence Technology, Volume 8, Issue 2, Page 285-287, June 2023.
Siwei Ma   +6 more
wiley   +1 more source

Examining the interrelation behavior of distance metrics for head-related transfer function evaluation: a case study

open access: yesActa Acustica, 2023
The comparison of head-related transfer functions (HRTFs), e.g., for validating different acquisition methods, requires a meaningful way of quantifying HRTF differences – a problem to which literature offers no standardized approach.
Doma Shaima’a   +2 more
doaj   +1 more source

Efficient Representation of Head-Related Transfer Functions With Combination of Spherical Harmonics and Spherical Wavelets

open access: yesIEEE Access, 2019
Recently, a modeling method for head-related transfer functions (HRTFs) in the spatial domain is proposed based on spherical wavelets. Because spherical wavelets are local functions on the sphere, HRTF local features can be efficiently represented by ...
Huaping Liu, Yong Fang, Qinghua Huang
doaj   +1 more source

Estimation of the Optimal Spherical Harmonics Order for the Interpolation of Head-Related Transfer Functions Sampled on Sparse Irregular Grids

open access: yesFrontiers in Signal Processing, 2022
Conventional individual head-related transfer function (HRTF) measurements are demanding in terms of measurement time and equipment. For more flexibility, free body movement (FBM) measurement systems provide an easy-to-use way to measure full-spherical ...
David Bau   +3 more
doaj   +1 more source

Spatial grouping as a method to improve personalized head-related transfer function prediction [PDF]

open access: yesJASA Express Letters
The head-related transfer function (HRTF) characterizes the frequency response of the sound traveling path between a specific location and the ear. When it comes to estimating HRTFs by neural network models, angle-specific models greatly outperform ...
Keng-Wei Chang   +2 more
doaj   +1 more source

Head-Related Transfer Functions for Dynamic Listeners in Virtual Reality

open access: yesApplied Sciences, 2021
In dynamic virtual reality, visual cues and motor actions aid auditory perception. With multimodal integration and auditory adaptation effects, generic head-related transfer functions (HRTFs) may yield no significant disadvantage to individual HRTFs ...
Olli S. Rummukainen   +2 more
doaj   +1 more source

A Recommender System for Improving Median Plane Sound Localization Performance Based on a Nonlinear Representation of HRTFs

open access: yesIEEE Access, 2018
We propose a new method to improve median plane sound localization performance using a nonlinear representation of head-related transfer functions (HRTFs) and a recommender system.
Felipe Grijalva   +3 more
doaj   +1 more source

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