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Optimal approximation of head-related transfer function’s pole-zero model based on genetic algorithm |
| ZHANG Jie1, MA Hao2, WU Zhen-yang2 |
| 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; |
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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.
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Issue Date: 05 December 2006
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