Suppr超能文献

两种个人音频再现模态域方法的比较。

A comparison between two modal domain methods for personal audio reproduction.

机构信息

Centre for Audio, Acoustics and Vibration, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia.

Institute of Sound and Recording, University of Surrey, Guildford, United Kingdom.

出版信息

J Acoust Soc Am. 2020 Jan;147(1):161. doi: 10.1121/10.0000474.

Abstract

Personal audio provides private and personalized listening experiences by generating sound zones in a shared space with minimal interference between zones. One challenge of the design is to achieve the best performance with a limited number of microphones and loudspeakers. In this paper, two modal domain methods for personal audio reproduction are compared. One is the spatial harmonic decomposition (SHD) based method and the other is the singular value decomposition (SVD) based method. It is demonstrated that the SVD based method provides a more efficient modal domain decomposition than the SHD method for 2.5 dimensional personal audio design. Simulation results show that the SVD based method outperforms the SHD one by up to 10 dB in terms of acoustic contrast and up to 17 dB in terms of reproduction error for a compact arc array with five loudspeakers, while requiring fewer microphones around the zone boundaries. The SVD based method retains the inherent efficiency of optimizing in a modal domain while avoiding the inherent geometric limitations of using SHD basis functions. Thus, this approach is advantageous for applications with flexible system geometries and a small number of loudspeakers and microphones.

摘要

个人音频通过在共享空间中生成声音区域来提供私人和个性化的聆听体验,同时最大限度地减少区域之间的干扰。设计的一个挑战是在有限数量的麦克风和扬声器的情况下实现最佳性能。本文比较了两种用于个人音频再现的模态域方法。一种是基于空间谐波分解 (SHD) 的方法,另一种是基于奇异值分解 (SVD) 的方法。结果表明,对于 2.5 维个人音频设计,基于 SVD 的方法比基于 SHD 的方法提供了更有效的模态域分解。仿真结果表明,对于具有五个扬声器的紧凑弧形阵列,基于 SVD 的方法在声对比度方面的性能比基于 SHD 的方法高出 10dB,在再现误差方面的性能高出 17dB,同时在区域边界周围需要更少的麦克风。基于 SVD 的方法保留了在模态域中优化的固有效率,同时避免了使用 SHD 基函数的固有几何限制。因此,这种方法适用于具有灵活的系统几何形状和较少的扬声器和麦克风的应用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验