Journal of South China University of Technology(Natural Science Edition) ›› 2018, Vol. 46 ›› Issue (8): 130-133,150.doi: 10.3969/j.issn.1000-565X.2018.08.018

• Physics • Previous Articles     Next Articles

Extracting and Modeling of Median-plane Spectral Characteristics

 CHENG Hong1 DENG Huilong1 XU Shanshan2 GAO Yaoli1 WEI Sui1    

  1. 1． Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education，Anhui University，Hefei 230039， Anhui，China;
    2． Eleven Department，PLA Army Academy of Artillery and Air Defense，Hefei 230031，Anhui，China
  • Received:2017-12-14 Revised:2018-03-05 Online:2018-08-25 Published:2018-07-01
  • Contact: 钟小丽(1975-)，女，博士，教授，主要从事空间听觉与声信号处理研究 E-mail:xlzhong@scut.edu.cn
  • About author:钟小丽(1975-)，女，博士，教授，主要从事空间听觉与声信号处理研究
  • Supported by:
     Supported by the National Natural Science Foundation of China(11474103)

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Abstract: Head-related transfer functions (HRTFs) reflect the transmission process from sound sources to human ears, and therefore vary with sound source position, individual, and frequency. Aiming to obtain statistically independent information encoded in HRTFs, an extracting and modeling method of median-plane spectral characteristics was proposed on the basis of independent component analyses (ICA). Calculation results indicate that the mean of median-plane spectral distortion gradually decreases with increasing expansion order, and a weighted combination of the preceding six orders components represents the main part of median-plane spectral characteristics. Moreover, a subjective discrimination experiment was carried out. Corresponding results show that no auditory degradation is perceived when the proposed ICA-based median-plane spectral model is used in the elevation range from 45° to ?45°.

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