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dc.contributor.authorBomhardt, Ramona
dc.date.accessioned2022-06-19T04:03:39Z
dc.date.available2022-06-19T04:03:39Z
dc.date.issued2017
dc.date.submitted2022-06-18T05:39:25Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/56804
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/84257
dc.description.abstractHuman 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.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineeringen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physicsen_US
dc.subject.otherTechnology & Engineering
dc.subject.otherElectronics
dc.subject.otherScience
dc.subject.otherPhysics
dc.titleAnthropometric Individualization of Head-Related Transfer Functions Analysis and Modeling
dc.typebook
oapen.identifier.doihttps://doi.org/10.30819/4543
oapen.relation.isPublishedBy04b263a1-7fba-4491-9eae-1c394ac42fc3
oapen.relation.isFundedByKnowledge Unlatched
oapen.relation.isbn9783832545437
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintLogos Verlag Berlin
dc.relationisFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9


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