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- W2169146898 abstract "The Head Related Transfer Function (HRTF) characterizes the auditory cues created by scattering of sound off a person’s ana tomy. While it is known that features in the HRTF can be associated with various phenomena, such as head diffraction, head and torso reflection, knee reflection and pinna resonances and anti reson ances, identification of these phenomena are usually qualitative a nd/or heuristic. The objective of this paper is to attempt to decompose the HRTF and extract significant features that are perceptua lly important for source localization. Some of the significant fea tures that have been identified are the pinna resonances and the not ches in the spectrum caused by various parts of the body. We develop signal processing algorithms to decompose the HRTF into components, and extract the features corresponding to each component. The support of NSF award ITR-0086075 is gratefully acknowledged" @default.
- W2169146898 created "2016-06-24" @default.
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- W2169146898 date "2003-07-01" @default.
- W2169146898 modified "2023-09-23" @default.
- W2169146898 title "EXTRACTING SIGNIFICANT FEATURES FROM THE HRTF" @default.
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