Results 11 to 20 of about 17,083,400 (305)

Head-Related Transfer Function Selection Using Neural Networks

open access: yesArchives of Acoustics, 2017
In binaural audio systems, for an optimal virtual acoustic space a set of head-related transfer functions (HRTFs) should be used that closely matches the listener’s ones.
Shu-Nung YAO, Tim COLLINS, Chaoyun LIANG
doaj   +2 more sources

Subjective Evaluation of Three Headphone-Based Virtual Sound Source Positioning Methods Including Differential Head-Related Transfer Function [PDF]

open access: yesArchives of Acoustics, 2016
This paper analyses the performance of Differential Head-Related Transfer Function (DHRTF), an alternative transfer function for headphone-based virtual sound source positioning within a horizontal plane. This experimental one-channel function is used to
Dominik STOREK   +2 more
doaj   +2 more sources

Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling [PDF]

open access: yes, 2017
Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues.
Bomhardt, Ramona
core   +1 more source

Modeling head related transfer functions [PDF]

open access: yesProceedings of 27th Asilomar Conference on Signals, Systems and Computers, 2002
Head related transfer functions (HRTFs) characterize the transformation of a sound source to the sounds reaching the eardrums, and are central to binaural hearing. Because they are the result of wave propagation and diffraction, they can only be approximated by finitely parameterized filters.
openaire   +2 more sources

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

Perceptual attributes for the comparison of head-related transfer functions [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2016
The benefit of using individual head-related transfer functions (HRTFs) in binaural audio is well documented with regards to improving localization precision. However, with the increased use of binaural audio in more complex scene renderings, cognitive studies, and virtual and augmented reality simulations, the perceptual impact of HRTF selection may ...
Simon, Laurent   +2 more
openaire   +3 more sources

The HUTUBS head-related transfer function (HRTF) database [PDF]

open access: yes, 2019
The database contains head-related transfer functions, 3D head meshes, anthropometric features, and headphone transfer functions of 96 ...
Dinakaran, Manoj   +7 more
core   +1 more source

Head-related transfer function measurements in a compartment fire

open access: yesThe Journal of the Acoustical Society of America, 2022
The Personal Alert Safety System (PASS) is an alarm signal device carried by firefighters to help rescuers locate and extricate downed firefighters. A fire creates temperature gradients and inhomogeneous time-varying temperature, density, and flow fields that modify the acoustic properties of a room.
Abbasi, Mustafa Z.   +2 more
openaire   +3 more sources

Rabbit head-related transfer functions within the front horizontal plane

open access: yes, 2023
HRTF Data Set.mat: MATLAB file containing rabbit head-related transfer function (HRTF) data. README - HRTF Data Set.txt: Text file detailing the contents of HRTF Data Set.mat.
Mitchell Day (9262982)
core   +1 more source

Head-Related Transfer Function Interpolation with a Spherical CNN

open access: yesCoRR, 2023
Head-related transfer functions (HRTFs) are crucial for spatial soundfield reproduction in virtual reality applications. However, obtaining personalized, high-resolution HRTFs is a time-consuming and costly task. Recently, deep learning-based methods showed promise in interpolating high-resolution HRTFs from sparse measurements.
Xingyu Chen   +4 more
openaire   +3 more sources

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