Frontiers of Electrical and Electronic Engineering >

2006 , Vol. 1 >Issue 4: 455 - 459

DOI: https://doi.org/10.1007/s11460-006-0087-z

Optimal approximation of head-related transfer function’s pole-zero model based on genetic algorithm

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  • 1.The CETC 14th Research Institute, Nanjing 210013, China; College of Information Science and Engineering, Southeast University, Nanjing 210096, China; 2.College of Information Science and Engineering, Southeast University, Nanjing 210096, China;

Published date: 05 Dec 2006

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Abstract

In the research on spatial hearing and virtual auditory space, it is important to effectively model the head-related transfer functions (HRTFs). Based on the analysis of the HRTFs  spectrum and some perspectives of psychoacoustics, this paper applied multiple demes  parallel and real-valued coding genetic algorithm (GA) to approximate the HRTFs  zero-pole model. Using the logarithmic magnitude s error criterion for the human auditory sense, the results show that the performance of the GA is on the average 39 % better than that of the traditional Prony method, and 46 % better than that of the Yule-Walker algorithm.

Cite this article

ZHANG Jie, MA Hao, WU Zhen-yang . Optimal approximation of head-related transfer function’s pole-zero model based on genetic algorithm[J]. Frontiers of Electrical and Electronic Engineering, 2006 , 1(4) : 455 -459 . DOI: 10.1007/s11460-006-0087-z

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