Acoustic Filter Functions from Morphological Measurements

该项目致力于实现高保真3D音频的广播。通过开发一种基于收听者头部和耳朵的图像数据导出个性化声学滤波器函数的有效技术，我们希望能够实现高保真3D音频解码和渲染。最近在约克大学开发的形态参数化技术和数据库将与悉尼大学开发的统计综合技术和数据库相结合，以大大减少单独使用任何一组所需的开发时间。在悉尼大学进行的心理声学实验将展示交付的3D音频的保真度。

This project works toward enabling the broadcast of high-fidelity 3D audio. By developing an efficient technique for deriving personalised acoustic filter functions based on image data of the listener's head and ears, we hope to enable high-fidelity 3D audio decoding and rendering. Morphological parameterisation techniques and databases recently developed at the University of York will be combined with the statistical synthesis techniques and databases developed at the University of Sydney to substantially reduce the development time required for either group alone. Psychoacoustic experiments carried out at the University of Sydney will demonstrate the fidelity of the delivered 3D audio.