Optimal Design of Speaker Array for a Robust Cross-talk Cancellation System Using the Taguchi Method and the Genetic Algorithm
Mingsian R. Bai
|關鍵字:||cross-talk;Taguchi Method;Speaker Array;Genetic Algorithm;Tikhonov regularization;LCMV;交越失真;田口實驗計劃法;陣列喇叭;基因演算法|
A optimal design technique of the cross-talk cancellation system for personal three-dimensional (3-D) audio system based on a speaker array is presented in this paper. The proposed system mainly consists of the head related transfer function (HRTF) and the cross-talk cancellation system (CCS). A Tikhonov regularization inversing technique is employed in designing multi-channel digital filters to cancel the cross-talks between the speakers and the listener’s ears. A focusing technique based on the inversion of the propagation operator relating an array of transducers to a set of control points is employed to improve the robustness of cross-talk cancellation system. Another focusing technique called linearly constrained minimum variance (LCMV) beamforming method is introduced in this paper. The Taguchi method and the genetic algorithm (GA) are used to optimize this system in order to achieve a robust CCS with good performance. Numerical simulations of contour plots are presented in comparing performance and robustness in different configurations. The experimental results are divided into two parts, physical tests and subjective listening tests. Numerical simulations and experimental investigations indicated that the proposed system is effective in improving robustness to head misalignment.
|Appears in Collections:||Thesis|