Title
Interpolation of Head-Related Transfer Functions Using Manifold Learning
Abstract
We propose a new head-related transfer function (HRTF) interpolation method using Isomap, a nonlinear dimensionality reduction technique. First, we construct a single manifold for all subjects across both azimuth and elevation angles through the construction of an intersubject graph (ISG) that includes important prior knowledge of the HRTFs such as correlations across individuals, directions, and ...
Year
DOI
Venue
2017
10.1109/LSP.2017.2648794
IEEE Signal Processing Letters
Keywords
Field
DocType
Manifolds,Interpolation,Ear,Azimuth,Principal component analysis,Databases,Measurement
Mathematical optimization,Spline interpolation,Pattern recognition,Interpolation,Bicubic interpolation,Manifold alignment,Artificial intelligence,Trilinear interpolation,Nonlinear dimensionality reduction,Mathematics,Bilinear interpolation,Isomap
Journal
Volume
Issue
ISSN
24
2
1070-9908
Citations 
PageRank 
References 
4
0.58
16
Authors
4
Name
Order
Citations
PageRank
Felipe Grijalva1192.31
Luiz Martini2141.87
Dinei A. F. Florêncio3111878.52
Siome Goldenstein461847.43