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@PHDTHESIS{Richter:760168,
      author       = {Richter, Jan-Gerrit},
      othercontributors = {Fels, Janina and Jax, Peter Johannes},
      title        = {{F}ast measurement of individual head-related transfer
                      functions},
      volume       = {30},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Berlin},
      publisher    = {Logos Verlag Berlin GmbH},
      reportid     = {RWTH-2019-04006},
      isbn         = {978-3-8325-4906-0},
      series       = {Aachener Beiträge zur Akustik},
      pages        = {1 Online-Ressource (III, 151 Seiten) : Illustrationen,
                      Diagramme},
      year         = {2019},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, RWTH Aachen University, 2019},
      abstract     = {While 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. These datasets enable a reasonably good
                      spatial localization which works especially well when using
                      an additional visual cue. However, certain applications, for
                      example research of spatial hearing or hearing attention,
                      require an physically exact and realistic binaural signal.
                      Moreover, it was shown in many experiments that there is a
                      substantial gain from the use of individual HRTFs, for
                      example in localization tasks. The limiting factor that
                      prohibits the widespread use of individual HRTFs is the
                      acquisition of such data. A substantial hardware requirement
                      obstructs a more universal usage. Even for institutions that
                      allow individual measurements, the measurement time that is
                      required, and that the subjects are required to remain
                      motionless made most measurements unfeasible in the past.
                      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. The introduced methods are also
                      used to reducing additional errors from subject movement. It
                      is shown that this movement can be reduced by a visual
                      feedback system to a level that can be compensated
                      efficiently.},
      cin          = {613620},
      ddc          = {621.3},
      cid          = {$I:(DE-82)613620_20160720$},
      typ          = {PUB:(DE-HGF)11 / PUB:(DE-HGF)3},
      doi          = {10.18154/RWTH-2019-04006},
      url          = {https://publications.rwth-aachen.de/record/760168},
}