Title
The Estimation of Personalized HRTFs in Individual VAS
Abstract
The synthesis of individual virtual auditory system (VAS) is an important and state-of-the-art technology in virtual reality. One of the key factors for individual VAS is to obtain a set of proper head related transfer functions (HRTFs). A personalization method is presented in this paper. First, multiple linear regression analysis is applied to get the linear relationship between HRTFs and some anthropometric parameters; second, the magnitude response of the individual HRTF is estimated; finally the center frequencies of the two prominent notches in the estimated magnitude response are modified by using the center frequencies estimated from the subject's pinna parameters. The results show that the modified HRTF is more approximate to the measured one.
Year
DOI
Venue
2008
10.1109/ICNC.2008.460
ICNC
Keywords
Field
DocType
personalized hrtfs,individual vas,individual virtual auditory system,virtual reality,modified hrtf,magnitude response,multiple linear regression analysis,center frequency,linear relationship,individual hrtf,estimated magnitude response,audio signal processing,regression analysis,multiple linear regression,estimation theory,head related transfer function,system on a chip,databases,correlation,transfer functions
Virtual reality,Regression analysis,Computer science,Artificial intelligence,Estimation theory,Audio signal processing,Linear regression,Frequency response,Pattern recognition,Auditory system,Speech recognition,Transfer function,Machine learning
Conference
Citations 
PageRank 
References 
2
0.51
0
Authors
3
Name
Order
Citations
PageRank
Hongmei Hu120.51
Liang Chen220.51
Zhenyang Wu315417.52