Virtual audio localization with simulated early reflections and generalized head-related transfer functions

dc.contributor.advisorChairperson, Graduate Committee: Robert C. Maheren
dc.contributor.authorReed, Darrin Kiyoshien
dc.date.accessioned2013-06-25T18:41:10Z
dc.date.available2013-06-25T18:41:10Z
dc.date.issued2009en
dc.description.abstractIn a natural sonic environment a listener is accustomed to hearing reflections and reverberation. It is conceived that early reflections could reduce front-back confusion in synthetic 3-D audio. This thesis describes experiments which seek to determine whether or not simulated reflections can reduce front-back confusions for audio presented with non-individualized head-related transfer functions (HRTFs) via headphones. To measure the contribution of the reflections, 13 human subjects participated in localization experiments which compared their localization ability with anechoic HRTF processing versus HRTF processing with a single early-reflection. The results were highly subject dependent; some showed improvement while others seemed to be inhibited by the reflections. Statistical analysis of the overall results concluded that a single reflection does not provide a significant difference in localization ability. Although this data rejects the hypothesis of this investigation, some suspicion regarding the contribution of lateral reflections in an auditory environment remains.en
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/2112en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.rights.holderCopyright 2009 by Darrin Kiyoshi Reeden
dc.subject.lcshSound--Recording and reproducingen
dc.subject.lcshSurround-sound systemsen
dc.subject.lcshAcoustical engineeringen
dc.titleVirtual audio localization with simulated early reflections and generalized head-related transfer functionsen
dc.typeThesisen
thesis.catalog.ckey1509297en
thesis.degree.committeemembersMembers, Graduate Committee: Ross K. Snider; Robert Gundersonen
thesis.degree.departmentElectrical & Computer Engineering.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage94en

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