基于参数化声音的信息可听化技术研究
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摘要
本文首先从心理学的角度,分析了使用可听化的原因和优势:介绍了可听化系统的结构,讨论了参数化合成声音的原理和方法;分析了可听化处理过程中的关键技术。研究了非语音信号表述离散和连续信息的方法和使用可听化表述医学图象的可能性,建立了一个参数化声音发生平台,该平台提供频率、响度、均衡和时长4今参数控制维度。在该平台的基础上,对一维变量、简单二维变量和复杂二维变量等信息使用了多种不同的映射算法进行了试验。我们比较了这些结果,最后总结了一般的映射准则,希望通过使用听觉通道这种方式,使人对数据的本能或自发的感知。
In The paper, firstly, we analyzed the reason of somfication from psycholo gical viewpoint .Introduce the constitute of somficational system ,the key procession of sonification, the theory of parameter-controlled-synthesizing sound and it抯 princip le of applications of both discrete and sequential signal presentation.
    
     Secondly ,on such theoretical base ,We design a parameters-controlled protot ypal sound generator .These parameters are frequency ,intensive, balance and duratio
    
    n.
    
     Finally, with such sound generator ,We investigate the ability of non-speech sound presenting the information which is discrete or sequential information. Speciall y we research the probability of sonification on medical image. Because of it's comp lexity ,various mapping algorithms are studied to fulfill the different information ma pping ,such information is grayscale ,grads and curvilinear-scale. We compared their differences and the results. Then summarized the principles of general mapping to ac hieve the goal that we can comprehend the datum instinctively with audition.
引文
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