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STATISTICAL MODELLING, INTERPOLATION, MEASUREMENT AND ANTHROPOMETRY BASED PREDICTION OF HEAD-RELATED TRANSFER FUNCTIONS

机译:基于统计模型,内插,测量和人体测头的与头部相关的传递函数的预测

摘要

A system is disclosed for statistical modelling, interpolation, and user-feedback based inference of head-related transfer functions (HRTF), which includes a processor performing operations that include using a collection of previously measured head related transfer functions corresponding to multiple directions for at least one subject; and performing Gaussian process hyper-parameter training on the collection of head related transfer functions. A method is disclosed for statistical modelling, interpolation, measurement and anthropometry based prediction of head-related transfer functions (HRTF) for a virtual audio system that includes collecting head related transfer functions (HRTF) measurement in multiple directions; and performing Gaussian hyper-parameter training on the collection of head related transfer functions to generate at least one predicted HRTF.
机译:公开了一种用于对头部相关的传递函数(HRTF)进行基于统计建模,内插和用户反馈的推断的系统,该系统包括处理器执行的操作,该操作包括使用对应于多个方向的先前测量的头部相关的传递函数的集合,用于至少一个科目;对与头部相关的传递函数的集合进行高斯过程超参数训练。公开了一种用于基于统计建模,内插,测量和人体测量学的虚拟音频系统的与头部相关的传递函数(HRTF)的预测的方法,该方法包括在多个方向上收集与头部相关的传递函数(HRTF)的测量。对头部相关的传递函数的集合进行高斯超参数训练,以生成至少一个预测的HRTF。

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