期刊文献+

个性化头相关传递函数的研究进展

Research progress of personalized head-related transfer function
原文传递
导出
摘要 虚拟听觉技术用于再现与真实声像一样的听觉效果,甚至可以优化听觉体验。它涉及心理声学、信号测量、计算仿真等方面,在虚拟现实、通信导航、助听设备和心理康复等领域具有重要应用,受到了科研工作者的广泛重视。该技术的一个重要应用是虚拟听觉空间的构建,其基础是个性化头相关传递函数的获取。近些年,出现了大量获取个性化头相关传递函数的方法。为便于各个方法的总结和分析,将这些方法分成声学测量、数值计算、基于人体特征的近似估计3类,对每类方法的研究进程和重要成果进行了概况总结。随后,从实际应用的角度论述了各种方法的优缺点,针对各类问题的研究方向提出了建议,对技术未来发展进行了展望。 Virtual hearing technology can reproduce the same hearing effect as real sound images,and may even optimize listening experiences.It involves psychoacoustics,signal measurement,computational simulation and other aspects.It has been widely applied in the fields of virtual reality,communication and navigation,hearing aids and psychological rehabilitation,and has attracted wide attention from researchers.An important application of this technology is the construction of a virtual auditory space,which requires the acquisition of personalized head-related transfer functions.Several methods for obtaining personalized head-related transfer functions have been proposed.To summarize and discuss these methods,we classify them into three categories:acoustic measurement,numerical calculation and approximate estimation based on human characteristics.Research progresses and important achievements within each category were then investigated.We analyzed advantages and disadvantages of various methods from the perspective of practical application,and then looked forward to new trends in technology development in the future.
作者 刘宝禄 刘庆峰 郭小朝 倪广健 Liu Baolu;Liu Qingfeng;Guo Xiaochao;Ni Guangjian(College of Precision Instruments and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China;Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin 300072,China;Air Force Medical Center of FMMU,Beijing 100142,China)
出处 《电子测量与仪器学报》 CSCD 北大核心 2020年第11期155-165,共11页 Journal of Electronic Measurement and Instrumentation
基金 国防基础科研计划(JCKY2018000B001)资助项目
关键词 虚拟听觉 头相关传递函数 声学测量 数值计算 virtual hearing head-related transfer function acoustic measurement numerical calculation
  • 相关文献

参考文献8

二级参考文献60

  • 1林世毅,苏广川,陈东,韩晓广.基于小波变换和数学形态学的边缘检测法[J].仪器仪表学报,2004,25(z1):685-687. 被引量:24
  • 2汪林林,杨帆,王佐成.自适应多方向模糊形态学边缘检测算法[J].计算机应用研究,2009,26(3):1177-1179. 被引量:5
  • 3侯艳芹,李均利,魏平,陈刚.一种基于二维离散小波变换的医学图像增强算法[J].计算机工程与应用,2006,42(7):227-229. 被引量:6
  • 4刘盛鹏,方勇.基于Contourlet变换和IPCNN的融合算法及其在可见光与红外线图像融合中的应用[J].红外与毫米波学报,2007,26(3):217-221. 被引量:34
  • 5KIM K, HABAS P A, ROUSSEAU F, et al. Intersection based motion correction of muhislice MRI for 3-D in ute- ro fetal brain image formation [ J ]. IEEE Transactions on Medical Imaging,2010,29 ( 1 ) : 146-158.
  • 6MAYER A, GREENSPAN H. An adaptive mean-shift framework for MRI brain segmentation [ J ]. IEEE Trans- actions on Medical Imaging,2009,28 (8) :1238-1250.
  • 7LI T G, WANG S P,ZHAO N. Gray-scale edge detection for gastric tumor pathologic cell images by morphological analysis[ J ]. Computers in Biology and Medicine, 2009, 39( 11 ) :947-952.
  • 8JACOPO G, PIERRE S. Edge-preserving smoothing using a similarity measure in adaptive geodesic neighbourhoods [J]. Pattern Recognition,2009,42(10) :2306-2316.
  • 9DROSKE M, RUMPF M. Multi-scale joint segmentation and registration of image morphology [ J ]. IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 2007,29(12) : 2181-2194.
  • 10MUKHOPADHYAY S, CHANDA B. Multi-scale morpho- logical segmentation of gray-scale images [ J ]. IEEE Transactions on Image Processing, 2003, 12 ( 5 ) : 533-549.

共引文献90

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部