Efficient Approximation of Head-Related Transfer Functions in Subbands for Accurate Sound Localization.

ABSTRACT: Head-related transfer functions (HRTFs) describe the acoustic filtering of incoming sounds by the human morphology and are essential for listeners to localize sound sources in virtual auditory displays. Since rendering complex virtual scenes is computationally demanding, we propose four algorithms for efficiently representing HRTFs in subbands, i.e., as an analysis filterbank (FB) followed by a transfer matrix and a synthesis FB. All four algorithms use sparse approximation procedures to minimize the computational complexity while maintaining perceptually relevant HRTF properties. The first two algorithms separately optimize the complexity of the transfer matrix associated to each HRTF for fixed FBs. The other two algorithms jointly optimize the FBs and transfer matrices for complete HRTF

SUBMITTER: Marelli D 

PROVIDER: S-EPMC4678625 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature