Name
Abstract | ||
|---|---|---|
Head-related impulse responses (HRIRs) are subject-dependent and direction-dependent filters used in spatial audio synthesis. They describe the scattering response of the head, torso, and pinnae of the subject. We propose a structural factorization of the HRIRs into a product of non-negative and Toeplitz matrices; the factorization is based on a novel extension of a non-negative matrix factorization algorithm. As a result, the HRIR becomes expressible as a convolution between a direction-independent \emph{resonance} filter and a direction-dependent \emph{reflection} filter. Further, the reflection filter can be made \emph{sparse} with minimal HRIR distortion. The described factorization is shown to be applicable to the arbitrary source signal case and allows one to employ time-domain convolution at a computational cost lower than using convolution in the frequency domain. |
Year | Venue | Field |
|---|---|---|
2015 | CoRR | Frequency domain,Discrete mathematics,Computer science,Convolution,Matrix (mathematics),Matrix decomposition,Algorithm,Speech recognition,Toeplitz matrix,Factorization,Distortion,Overlap–add method |
DocType | Volume | Citations |
Journal | abs/1502.03162 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuancheng Luo | 1 | 28 | 5.10 |
| Dmitry N. Zotkin | 2 | 171 | 19.06 |
| Ramani Duraiswami | 3 | 1721 | 161.98 |