NDLI: A Stochastic Approximation Method with Enhanced Robustness for Crosstalk Cancellation

Content Provider	IET Digital Library
Author	Xu, Huaxing Wang, Qia Xia, Risheng Li, Junfeng Yan, Yonghong
Abstract	The objective of acoustic crosstalk cancellation is to use loudspeakers to deliver prescribed binaural signals (that reproduce a particular auditory scene) to a listener's ears, which is useful for 3-D audio applications. In practice, the actual transfer function matrix will differ from the design matrix, because of either the listener's head movement or rotation, etc. Crosstalk cancellation system (CCS) is very non-robust to these perturbations. Generally, in order to improve the robustness of CCS, several pairs of loudspeakers are needed whose position varies continuously as frequency varies. With the help of assumed stochastic analysis, we propose a stochastic robust approximation crosstalk cancellation method based on random perturbation matrix modeling the variations of the transfer function matrix. Under the free-field condition, simulation results demonstrate the effectiveness of the proposed method.
Starting Page	1269
Ending Page	1275
Page Count	7
ISSN	10224653
Volume Number	26
e-ISSN	20755597
Issue Number	Issue 6, Nov (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/26/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2017.09.035
Journal	Chinese Journal of Electronics
Publisher Date	2017-11-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	3D Audio Applications Acoustic Crosstalk Cancellation System Acoustic Signal Processing Algebra Approximation Theory Audio Signal Processing Binaural Signal CCS Crosstalk Design Matrix Digital Signal Processing Free-field Condition Interpolation And Function Approximation Loudspeakers Numerical Analysis Random Perturbation Matrix Modeling Speech And Audio Signal Processing Statistics Stochastic Approximation Method Stochastic Linearised SCUC Transfer Function Matrix
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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