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010   $a9783832545437
024 8 $ahttps://doi.org/10.30819/4543
035   $a(CKB)4100000011479663
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/64481
035   $a(ScCtBLL)6dc1ab66-aad3-4708-aa4b-49e98e1a9f38
035   $a(EXLCZ)994100000011479663
100   $a20210223h20172017  fy             0
101 0 $aeng
135   $aur||#||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAnthropometric individualization of head-related transfer functions analysis and modeling /$fRamona Bomhardt
210   $aBerlin/Germany$cLogos Verlag Berlin$d2017
210  1$aBerlin, Germany :$cLogos Verlag Berlin GmbH,$d[2017]
210  4$d©2017
215   $a1 online resource (143 pages) $cdigital file(s)
225 0 $aAachener Beitra?ge zur Akustik
300   $aBased on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto.
311 08$aPrint version: 3832545433 
320   $aIncludes bibliographical references.
330   $aHuman 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.
606   $aEngineering
610   $aHead-related transfer function
610   $aSpatial audio
610   $aBinaural hearing
610   $aAnthropometry
610   $aSound localization
615  0$aEngineering.
676   $a621.3828019
700   $aBomhardt$b Ramona$f1984-$0939272
801  0$bUkMaJRU
912   $a9910418322003321
996   $aAnthropometric individualization of head-related transfer functions analysis and modeling$92117230
997   $aUNINA