Head-Related Transfer Functions (HRTFs) play a vital role in binaural spatial audio rendering. With the release of numerous HRTF datasets in recent years, abundant data has become available to support HRTF-related research based on deep learning. However,
Jiale Zhao, Dingding Yao, Junfeng Li
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Design and preliminary tests of a blade tip air mass injection system for vortex modification and possible noise reduction on a full-scale helicopter rotor [PDF]
Full-scale tests were conducted on the Langley helicopter rotor test facility as part of a study to evaluate the effectiveness of a turbulent blade tip air mass injection system in alleviating the impulsive noise (blade slap) caused by blade-vortex ...
Balcerak, J. C. +3 more
core +1 more source
Hiniennekadur HRTF: stad an arzh
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.
Guezenoc, Corentin, Seguier, Renaud
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Metal-Phenolic Network-Facilitated "Foe-to-Friend" Conversion of Melittin for Cancer Immunotherapy with Boosted Abscopal Effect. [PDF]
Guo Y +5 more
europepmc +1 more source
Conversion of stereo recording to 5.1 format using head-related transfer functions
The paper presents the conversion of stereo recordings into multi-channel format 5.1 by means of the HRTF filtering. An algorithm of additional channels preparation (a central one and two surround ones) using various filters created on the base of HRTF ...
Paweł HEN +2 more
doaj
Towards Child-Appropriate Virtual Acoustic Environments: A Database of High-Resolution HRTF Measurements and 3D-Scans of Children. [PDF]
Braren HS, Fels J.
europepmc +1 more source
Towards Perception-Informed Latent HRTF Representations
Personalized head-related transfer functions (HRTFs) are essential for ensuring a realistic auditory experience over headphones, because they take into account individual anatomical differences that affect listening. Most machine learning approaches to HRTF personalization rely on a learned low-dimensional latent space to generate or select custom ...
Zhang, You +5 more
openaire +2 more sources
Highly Reflective Thin-Film Optimization for Full-Angle Micro-LEDs. [PDF]
Ye ZT, Ho WT, Chen CH.
europepmc +1 more source
On the selection of the number of beamformers in beamforming-based binaural reproduction. [PDF]
Ifergan I, Rafaely B.
europepmc +1 more source

