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001 on1260354623
003 OCoLC
005 20230405100224.0
006 m d
007 cr |||||||||||
008 210223t20172017gw fob 000 0 eng d
040 _aSFB
_beng
_erda
_cSFB
_dOCLCO
_dVT2
_dS2H
_dOCLCF
_dUKKNU
_dUAB
_dOCLCO
_dOCLCQ
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019 _a1202545406
020 _a3832545433
020 _a9783832545437
_q(electronic bk.)
035 _a3541125
_b(N$T)
035 _a(OCoLC)1260354623
_z(OCoLC)1202545406
050 4 _aInternet Access
_bAEGMCT
082 0 4 _a621.3828019
_222
049 _aMAIN
100 1 _aBomhardt, Ramona,
_d1984-
_eauthor.
245 1 0 _aAnthropometric individualization of head-related transfer functions analysis and modeling /
_cRamona Bomhardt.
264 1 _aBerlin, Germany :
_bLogos Verlag Berlin GmbH,
_c[2017]
264 4 _c�2017
300 _a1 online resource (143 pages) :
_bfile(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_2rda
490 0 _aAachener Beitr�age zur Akustik
500 _aBased on author's doctoral thesis: Fakult�at f�ur Elektrotechnik und Informationstechnik der Rheinischen-Westf�alischen Technischen Hochschule Aachen -- title-page recto.
504 _aIncludes bibliographical references.
546 _aIn English with front matter in German.
588 _aDescription based on e-publication, viewed on July 12, 2021.
520 _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.
590 _aAdded to collection customer.56279.3
650 0 _aEngineering.
650 2 _aEngineering
650 6 _aIng�enierie.
650 7 _aengineering.
_2aat
650 7 _aTechnology & Engineering / Electronics.
_2bisacsh
650 7 _aScience / Physics.
_2bisacsh
650 7 _aTechnology.
_2fast
_0(OCoLC)fst01145078
655 4 _bElectronic books.
776 0 8 _iPrint version:
_z3832545433
856 4 0 _3EBSCOhost
_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3541125
938 _aKnowledge Unlatched
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938 _aEBSCOhost
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994 _a92
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999 _c45542
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