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基于对数误差准则的HRTF共极点/零点建模方法

汪林 殷福亮 陈喆

汪林, 殷福亮, 陈喆. 基于对数误差准则的HRTF共极点/零点建模方法[J]. 电子与信息学报, 2009, 31(2): 306-309. doi: 10.3724/SP.J.1146.2007.01494
引用本文: 汪林, 殷福亮, 陈喆. 基于对数误差准则的HRTF共极点/零点建模方法[J]. 电子与信息学报, 2009, 31(2): 306-309. doi: 10.3724/SP.J.1146.2007.01494
Wang Lin, Yin Fu-liang, Chen Zhe. Common-Acoustical-Poles/Zeros Modeling of HRTF Using Logarithmic Error Criterion[J]. Journal of Electronics & Information Technology, 2009, 31(2): 306-309. doi: 10.3724/SP.J.1146.2007.01494
Citation: Wang Lin, Yin Fu-liang, Chen Zhe. Common-Acoustical-Poles/Zeros Modeling of HRTF Using Logarithmic Error Criterion[J]. Journal of Electronics & Information Technology, 2009, 31(2): 306-309. doi: 10.3724/SP.J.1146.2007.01494

基于对数误差准则的HRTF共极点/零点建模方法

doi: 10.3724/SP.J.1146.2007.01494
基金项目: 

国家自然科学基金(60772161,60372082)资助课题

Common-Acoustical-Poles/Zeros Modeling of HRTF Using Logarithmic Error Criterion

  • 摘要: 共声学极点/零点(CAPZ)逼近是头相关传递函数(HRTF)建模的一种高效方法,与极零点模型相比,它可以用更少的参数表示HRTF。传统的CAPZ模型参数估计方法是基于最小均方误差准则,而人的听觉感知系统更适合于对数误差准则,为此,该文提出一种基于对数幅度误差最小化的CAPZ模型参数估计方法。该方法首先使用Haneda方法估计出声学共极点,然后在对数幅度误差准则下,使用迭代加权最小二乘算法估计零点,从而得到完整的CAPZ模型。仿真实验结果验证了其有效性。
  • Moore B C J. An introduction to the psychology of hearing.San Diego, USA: Academic Press, 2003, Chapter 2-3.[2]Zhong X L and Xie B S. Spatial characteristics of headrelated transfer function[J].Chinese Physics Letters.2005, 22(5):1166-1168[3]Algazi V R and Duda R O. Immersive spatial sound formobile multimedia. Proceedings of the 7th IEEEInternational Symposium on Multimedia, Irvine, California,USA, 2005: 739-764.[4]Blommer M A and Wakefield G H. Pole-zero approximationsfor head-related transfer functions using a logarithmic errorcriterion[J].IEEE Trans. on Speech and Audio Processing.1997,5(3):278-287[5]Huopaniemi J and Karjalainen M. HRTF filter design basedon auditory criteria. Proceedings of Nordic AcousticalMeeting (NAM'96), Helsinki, 1996: 323-330.[6]Haneda Y, Makino S, and Kaneda Y, et al.. Commonacoustical-pole and zero modeling of head-related transferfunctions[J].IEEE Trans. on Speech and Audio Processing.1999,7(2):188-196[7]Bai M R and Ou K Y. Head-related transfer function (HRTF)synthesis based on a three-dimensional array model andsingular value decomposition[J].Journal of Sound andVibration.2005, 281(3):1093-1115[8]Matsumura T, Iwanaga N, and Kobayashi W, et al..Embedded 3D sound movement system based on featureextraction of head-related transfer function[J].IEEE Trans. onConsumer Electronics.2005, 51(1):262-267[9]张杰, 吴镇扬, 马浩. 遗传算法用于HRTFs 共用声学极点的极零点模型逼近. 信号处理, 2006, 22(2): 177-181.Zhang J, Wu Z Y, and Ma H. CAPZ model approximation ofHRTF using genetic algorithm. Signal Processing,, 2006,22(2): 177-181.[10]Chen M C and Hsieh S F. Common acoustical-poles/zerosmodeling for 3D sound processing. IEEE InternationalConference on Acoustics, Speech and Signal Processing,Istanbul, 2000: 785-788.[11]Lin L, Ambikairajah E, and Holmes W H. Log-magnitudemodeling of auditory tuning curves. IEEE InternationalConference on Acoustics, Speech and Signal Processing, SaltLake City, 2001: 3293-3296.[12]Kobayyashi T and Imai S. Design of IIR digital fitlers witharbitrary Log magnitude function by WLS techniques[J].IEEETrans. on Acoustics, Speech, and Signal Processing.1990,38(2):247-252[13]Pei S C and Shyu J J. Design of FIR Log filters by weightedleast squares techniques[J].IEEE Trans. on Signal Processing.1994, 42(9):2495-2499[14]Monden Y, Yamada M, and Arimoto S. Fast algorithm foridentification of an ARX model and its order determination.IEEE Trans. on Acoustics, Speech and Signal Processing, 1982,ASSP-30(3): 390-399.[15]Gardner W G and Martin K D. HRTF measurements of aKEMAR[J].Journal of Acoustical Society of America.1995,97(6):3907-3908[16]Kulkarni A, Isabelle S K, and Colburn H S. On the minimumphase approximation of head-related transfer functions. IEEEASSP Workshop on Applications of Signal Processing toAudio and Acoustics, New York, 1995: 84-87.
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出版历程
  • 收稿日期:  2007-09-18
  • 修回日期:  2008-05-22
  • 刊出日期:  2009-02-19

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