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首页> 外文会议>14th International Conference on Computer and Information Technology >Modeling the head related transfer function for sound localization in normal hearing persons and bilateral cochlear implant recipients
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Modeling the head related transfer function for sound localization in normal hearing persons and bilateral cochlear implant recipients

机译：为正常听力人员和双侧人工耳蜗植入者的声音定位建模与头部相关的传递函数

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摘要

Mathematical models can be very useful for understanding complicated systems, and for testing algorithms through simulations that would otherwise be difficult or expensive to implement. A model has been devised that simulates the sound localization performance of normal hearing persons, and that is being further refined for simulation of performance of hearing-impaired persons wearing two cochlear implants (CIs). The model is intended to be a tool in understanding the relative contribution of various factors involved in acoustic localization, and in developing new signal processing algorithms for neural encoding strategies. This presentation overviews the development of and results for the normal hearing model, and discusses modifications that are needed to simulate sound processing with binaural cochlear implants. The human head related transfer function (HRTF) is a critical component of the model, and provides the characteristics of head shadow, torso and pinna effects. It defines the temporal, intensity and spectral cues reaching each ear that are important for good localization ability. The model has been validated against published literature on HRTFs and localization in normal listeners, and is being further developed to account for differences in the signal pathway and sound reaching the CI user due to sound processing and microphone location effects.
机译：数学模型对于理解复杂的系统以及通过仿真来测试算法非常有用，否则这些仿真将很难或昂贵地实现。已经设计出一种模型来模拟正常听力者的声音定位性能，并且对该模型进行进一步完善以模拟戴着两个人工耳蜗（CI）的听力障碍者的性能。该模型旨在成为了解声定位中各种因素的相对贡献以及开发用于神经编码策略的新信号处理算法的工具。本演示文稿概述了正常听力模型的开发和结果，并讨论了模拟双耳人工耳蜗声音处理所需的修改。人头相关传递函数（HRTF）是模型的关键组成部分，并提供了头部阴影，躯干和耳廓效应的特征。它定义了到达每个耳朵的时间，强度和频谱提示，这对于良好的定位能力很重要。该模型已经针对有关正常听众的HRTF和定位的已发表文献进行了验证，并且正在进一步开发以解决由于声音处理和麦克风位置效应而导致信号路径和到达CI用户的声音的差异。

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