Results 61 to 70 of about 2,571 (215)
We examined auditory change detection in real and virtual environments across two age groups using behavioral measures and event‐related potentials. Participants responded to changes in distance and azimuth from a central reference loudspeaker. Results underscore the potential of audiovisual virtual environments as a research tool for exploring ...
Benjamin Stodt +4 more
wiley +1 more source
User HRTF Selection for 3D Auditory Mixed Reality [PDF]
We introduce a novel approach for personalisation of an efficient 3D binaural rendering system designed for mobile, auditory mixed reality use cases. A head-related transfer function (HRTF) ranking method is outlined for users of real-time, interactive ...
Shukla, R +3 more
core +1 more source
SuDaField: Subject- and Dataset-Aware Neural Field for HRTF Modeling
This paper presents SuDaField, a subject- and dataset-aware neural field (NF) that can leverage multiple head-related transfer function (HRTF) datasets.
Yoshiki Masuyama +4 more
doaj +1 more source
Plenacoustic Function on the Circle with Application to HRTF Interpolation [PDF]
The sampling of a sound field using circular microphone arrays is studied. We give a new representation of the sound field sampled on such an array using the two-dimensional Fourier transform. We then show how we can reconstruct the sound field at all possible positions on the array from a finite number of measurements.
Thibaut Ajdler +2 more
openaire +3 more sources
Deep Learning‐Driven Modeling of Dynamic Acoustic Sensing in Biomimetic Soft‐Robotic Pinnae
ABSTRACT Biological function often depends on complex mechanisms of a dynamic, time‐variant nature. An example is certain bat species (horseshoe bats—Rhinolophidae) that use intricate pinna musculatures to execute a variety of pinna deformations. While prior work has indicated the potential significance of these motions for sensory information encoding,
Sounak Chakrabarti, Rolf Müller
wiley +1 more source
Binaural sound source localization is an important and widely used perceptually based method and it has been applied to machine learning studies by many researchers based on head-related transfer function (HRTF).
Jing Wang +4 more
doaj +1 more source
Reconstruction of three‐dimensional sound field system based on machine learning method
This research enhances 3D audio system reconstruction by developing a neural network model for optimal speaker signal allocation based on actual playback environments. The proposed model, trained with TensorFlow, significantly reduces mean square error and computation time by 25.27%, thereby improving computational efficiency and error performance in ...
Wei Zhang +3 more
wiley +1 more source
Kaikkien kappaleiden instrumenttien taajuussijainti sekä HRTF- ja HP6-käyrät
Kaikkien kappaleiden instrumenttien taajuussijainti sekä HRTF- ja HP6 ...
Niemi, Leo Juhani
core +1 more source
Objective: This article establishes normative values for children and analyzes test–retest results for a new test, the Spatial Processing of Sentences in Noise in Portuguese (PROSER). Methods: To establish normative criteria, we evaluated 66 Brazilian Portuguese‐speaking children aged 7–10 years using audiological assessments, school performance tests,
Leticia Reis Borges-Ifanger +3 more
wiley +1 more source
HRTF Estimation using a Score-based Prior
We present a head-related transfer function (HRTF) estimation method which relies on a data-driven prior given by a score-based diffusion model. The HRTF is estimated in reverberant environments using natural excitation signals, e.g. human speech.
Lemercier, Jean-Marie +4 more
core +2 more sources

