| 面向空间音频的个性化头相关传输函数定位性能研究综述 |
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| 引用本文： | 邱音良,李知禹,王晶,李嵩,李婧欣. 面向空间音频的个性化头相关传输函数定位性能研究综述[J]. 信号处理, 2022, 38(9): 1843-1852. DOI: 10.16798/j.issn.1003-0530.2022.09.007 |
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| 作者姓名： | 邱音良 李知禹 王晶 李嵩 李婧欣 |
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| 作者单位： | 1.北京理工大学信息与电子学院, 北京 100081 |
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| 基金项目： | 国家自然科学基金62071039 |
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| 摘 要： | 基于头相关传输函数的音频处理是目前空间音频渲染的关键技术,而头相关传输函数受个体因素关系影响大,但由于个性化头相关传输函数测量成本较高,实际应用中往往使用非个性化的头相关传输函数。而针对个性化头相关传输函数的作用,在不同实验条件下,使用不同方法获得的个性化头相关传输函数,不同学者给出的结论有所差异。本文对个性化头相关传输函数定位性能的三个主要方面进行研究综述:提高水平和垂直方向定位精度;削弱头中效应;减少前后混淆现象。通过分析个性化头相关传输函数提升听感属性的声学原理,以及综合考察已有的主观实验结果,本文研究表明使用个性化头相关传输函数渲染空间音频对提升沉浸体验感有一定的帮助,且在不同定位感属性上有不同的表现。
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| 关 键 词： | 空间音频 个性化头相关传输函数 定位精度 头中效应 前后混淆 |
| 收稿时间： | 2022-05-17 |
Research Review on Localization Performance of Personalized Head-related Transfer Function for Spatial Audio |
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| Affiliation: | 1.School of Information and Electronics，Beijing Institute of Technology，Beijing 100081，China2.Agora，Hangzhou，Zhejiang 310012，China3.China Electronics Standardization Institute，Beijing 100176，China |
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| Abstract: | ? ?Audio processing localization based on Head-related transfer function is the key technology of spatial audio rendering at present. Head-related transfer function is greatly influenced by individual differences， but due to its high measurement cost， non-individual head-related transfer function is often used in practical applications. Regarding the role of individual head-related transfer function， under different experimental conditions， the conclusions given by different researchers are different. This paper summarizes the research on three main aspects of its localization performance: increasing the horizontal and vertical localization accuracy； reducing the inside-the-head localization effect； reducing the front-to-back confusion phenomenon. By analyzing the acoustic principles of individual head-related transfer function to enhance the sense of hearing， and comprehensively examining the existing subjective experimental results， this paper shows that the use of individual head-related transfer function for spatial audio rendering is helpful to improve the sense of immersion， and it shows different performances for different localization attributes. |
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