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dc.contributor.authorRichter, Jan-Gerrit
dc.date.accessioned2022-06-18T05:31:17Z
dc.date.available2022-06-18T05:31:17Z
dc.date.issued2019
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/56719
dc.description.abstractWhile binaural technology applications gained in popularity in recent years, the majority of applications still use non-individual Head-Related Transfer Functions (HRTFs) from artificial heads. However, certain applications, for example research of spatial hearing or hearing attention, require an physically exact and realistic binaural signal. The limiting factor that prohibits the widespread use of individual HRTFs is the acquisition time of such data. This time requirement has recently been reduced by the use of parallelization in the measurement signal which lead to the development of fast measurement systems capable of acquiring individual and spatially dense HRTF. This thesis provides a objective and subjective evaluation of such a system that is designed with the goal of little disturbance of the measurements in mind. The construction is detailed, followed by both an objective and subjective evaluation. A detailed investigation into additional distortion of the sound field introduced by the system itself is presented and it is shown that the system performs comparably to a conventional system in terms of sound source localization. Furthermore, a method is introduced and evaluated to further reduce the measurement time by using continuous rotation during the measurement. This method is used to reduced the measurement duration from eight minutes to three minutes without audible differences.
dc.languageEnglish
dc.subject.otherTechnology & Engineering
dc.subject.otherElectronics
dc.subject.otherScience
dc.subject.otherPhysics
dc.titleFast Measurement of Individual Head-Related Transfer Functions
dc.typebook
oapen.identifier.doihttps://doi.org/10.30819/4906
oapen.relation.isPublishedBy1059eef5-b798-421c-b07f-c6a304d3aec8
oapen.relation.isFundedByb818ba9d-2dd9-4fd7-a364-7f305aef7ee9
oapen.relation.isbn9783832549060
oapen.collectionKnowledge Unlatched (KU)
oapen.imprintLogos Verlag Berlin
oapen.identifierhttps://openresearchlibrary.org/viewer/e4ad34ed-ac8d-44c9-a43a-e481f2b2087c
oapen.identifier.isbn9783832549060


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