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Calculation of 3D Audio Spatial Parameters Perception Entropy

ZHANG Pei 1,WANG Xiaochen 1,JIANG Lin 1,2,ZHANG Maosheng 1,2   

  1. (1.National Engineering Research Center for Multimedia Software,Computer College,Wuhan University, Wuhan 430072,China; 2.Shenzhen Research Institute,Wuhan University,Shenzhen 518063,China)
  • Received:2014-10-28 Online:2015-10-15 Published:2015-10-15

三维音频空间参数感知熵的计算

章佩1,王晓晨1,姜林1,2,张茂盛1,2   

  1. (1.武汉大学计算机学院国家多媒体软件工程技术研究中心,武汉 430072; 2.武汉大学深圳研究院,广东 深圳 518063)
  • 作者简介:章佩(1988-),女,硕士研究生,主研方向:参数感知编码;王晓晨,讲师、博士;姜林、张茂盛,副教授、博士。
  • 基金资助:
    国家自然科学基金资助项目(61231015,61201169,61201340);深圳市科技计划基金资助项目(ZDSYS20140509165757632)。

Abstract: The calculation of spatial parameters perception entropy is currently based on the Binaural Cue Physiologcal Processing Model(BCPPM),which consists of frequency-to-place transform in cochlear,delay-attenuation network and effective channel noises.However,the frequency-to-place transform in cochlea and the delay-attenuation network is difficult to quantitatively describe.In addition,the difference between the quantization error of spatial parameters and the quantization step of spatial parameters is confused in computing spatial parameters perception entropy.This paper proposes a new Spatial Parameter Perceptual Model(SPPM) to address these problems in BCPPM.The delay-attenuation network module and the effective channel noises module are replaced with the spatial parameters generation module and the JND module,and a perception amplitude compression module is added.Besides,it also analyzes the relationship between maximum quantization error of spatial parameters and the quantization step of spatial parameters,then gives a space parameter perceptual entropy formula based on SPPM.Since the spatial redundancy parameters are taken full consideration,experimental results confirm that spatial parameters perceptual entropy is smaller in the proposed method than the spatial parameters perceptual entropy based on BCPPM.

Key words: spatial parameter, perception, entropy, quantization, audio sequence

摘要: 空间参数感知熵的计算源自空间参数生理感知模型,该模型由耳蜗频率位置映射模块、延时衰减网络模块和噪音叠加模块组成。但延时衰减网络和噪音叠加模块各自对人耳分辨率的影响难以定量描述,并在计算空间参数感知熵时混淆了空间参数量化误差和量化步长的概念。针对以上问题,提出空间参数感知模型,采用空间参数生成模块和人耳分辨率模块替代延时衰减网络模块和噪音叠加模块,添加感知幅度压缩模块,并分析空间参数最大量化误差与量化步长之间的关系,给出空间参数感知熵计算公式。实验结果表明,与现有空间参数感知熵计算方法相比,该方法更全面地考虑到了空间参数的冗余,在相同的音频序列下,空间参数感知熵更小。

关键词: 空间参数, 感知, 熵, 量化, 音频序列

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