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Spatial grouping as a method to improve personalized head-related transfer function prediction [PDF]
JASA Express LettersThe 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
Frontiers 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
Spatially augmented audio delivery: applications of spatial sound awareness in sensor-equipped indoor environments [PDF]
, 2009 Current mainstream audio playback paradigms do not take any account of a user's physical location or orientation in the delivery of audio through headphones or speakers. Thus audio is usually presented as a static perception whereby it is naturally a
Healy, Graham, Smeaton, Alan F.
core +2 more sources
Complexity, Volume 2020, Issue 1, 2020., 2020 Most binaural speech source localization models perform poorly in unprecedentedly noisy and reverberant situations. Here, this issue is approached by modelling a multiscale dilated convolutional neural network (CNN). The time‐related crosscorrelation function (CCF) and energy‐related interaural level differences (ILD) are preprocessed in separate ...
Lulu Wu +4 more
wiley +1 more source
IEEE 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
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds [PDF]
, 2014 In this paper we address the problems of modeling the acoustic space generated by a full-spectrum sound source and of using the learned model for the localization and separation of multiple sources that simultaneously emit sparse-spectrum sounds.
Deleforge, Antoine +2 more
core +3 more sources
HRTF Individualization Based on Anthropometric Measurements Extracted from 3D Head Meshes
2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA), 2021 In the field of 3D audio, the use of Head-Related Transfer Functions (HRTFs) compliant to the subject anatomical traits is crucial to guarantee a proper individual experience.
Davide Fantini +3 more
semanticscholar +1 more source
HRTF Individualization: A Survey
, 2020 Audio Engineering Society Convention 145, Audio Engineering Society, Oct 2018, New York, United ...
Guezenoc, Corentin, Seguier, Renaud
openaire +2 more sources
Head-Related Transfer Functions for Dynamic Listeners in Virtual Reality
Applied 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
, 2011 This is the author's accepted pre-print of the article, first published as G. Evangelista, S. Marchand, M. D. Plumbley and E. Vincent. Sound source separation. In U. Zölzer (ed.), DAFX: Digital Audio Effects, 2nd edition, Chapter 14, pp. 551-588.
Evangelista, G +3 more
core +2 more sources