Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling

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. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to miss...

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Tác giả chính: Bomhardt, Ramona
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Ngôn ngữ:Tiếng Anh
Được phát hành: Logos Verlag Berlin 2021
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Truy cập trực tuyến:ONIX_20210408_9783832545437_24
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author Bomhardt, Ramona
author_browse Bomhardt, Ramona
author_facet Bomhardt, Ramona
author_sort Bomhardt, Ramona
collection Directory of Open Access Books
description 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. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.
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spelling doab-20.500.12854ir-644812024-04-14T10:27:42Z Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling Bomhardt, Ramona Head-related transfer function Spatial audio Binaural hearing Anthropometry Sound localization thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences 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. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort. 2021-04-08T19:39:41Z 2021-04-08T19:39:41Z 2017 book ONIX_20210408_9783832545437_24 9783832545437 https://directory.doabooks.org/handle/20.500.12854/64481 eng Aachener Beiträge zur Akustik image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.logos-verlag.de/cgi-bin/engbuchmid?isbn=4543&lng=eng&id= https://www.logos-verlag.de/ebooks/OA/978-3-8325-4543-7.pdf Logos Verlag Berlin Logos Verlag Berlin 10.30819/4543 10.30819/4543 04b263a1-7fba-4491-9eae-1c394ac42fc3 9783832545437 Logos Verlag Berlin 28 153 Berlin/Germany open access
spellingShingle Head-related transfer function
Spatial audio
Binaural hearing
Anthropometry
Sound localization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences
Bomhardt, Ramona
Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title_full Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title_fullStr Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title_full_unstemmed Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title_short Anthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
title_sort anthropometric individualization of head related transfer functions analysis and modeling
topic Head-related transfer function
Spatial audio
Binaural hearing
Anthropometry
Sound localization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences
topic_facet Head-related transfer function
Spatial audio
Binaural hearing
Anthropometry
Sound localization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TT Other technologies and applied sciences
url ONIX_20210408_9783832545437_24
work_keys_str_mv AT bomhardtramona anthropometricindividualizationofheadrelatedtransferfunctionsanalysisandmodeling