SWF比传统混响音场更精准，但对球面划分敏感。
Evaluation of Spherical Wavelet Framework in Comparsion with Ambisonics
- 用局部基函数融合混响与对象音频优势
- 听觉测试显示SWF空间和音色保真度更优
- 适合追求高精度空间音频的开发者
最近提出的球面小波框架（Spherical Wavelet Framework, SWF）通过使用高度局部化的基函数，结合了混响音场（Ambisonics）与基于对象的音频（OBA）的优点。SWF可增强最佳听感区域并减少定位模糊，同时仍能实现完整声场的稀疏表示，提升存储与传输效率。初步向量分析与听觉测试已显示出良好效果，但结果局限于特定条件且缺乏感知指标。本研究更深入比较了SWF与混响音场，采用IACC、ITD、ILD估计，并使用生态有效声源进行听觉测试。评估了多种重放布局：规则多面体、t-设计与Lebedev网格，对应不同混响音场阶数与通道数。结果表明，SWF在整体空间与音色保真度上显著优于混响音场；但其性能高度依赖球面划分方式，且无法原生表示连续方向传来的声波，文中提出了可能解决方案。
原文摘要 · Abstract (English)
Recently, the Spherical Wavelet Framework (SWF) was proposed to combine the benefits of Ambisonics and Object-Based Audio (OBA) by utilising highly localised basis functions. SWF can enhance the sweet-spot area and reduce localisation blur while still enabling a sparse representation of the complete sound field, making storage and transmission more efficient. Initial vector analysis and listening test of SWF have shown promising results; however, these findings are limited to very specific conditions and do not include perceptual metrics. The present study investigates SWF in greater detail, comparing it with Ambisonics. The comparison was carried out using IACC, ITD, and ILD estimations, as well as listening tests with ecologically valid sound sources. Various reproduction layouts: regular polyhedron, t-design, and Lebedev grid with their corresponding Ambisonics orders and channel counts were evaluated. Results indicate that SWF is rated significantly more similar to the reference than Ambisonics is, in terms of overall spatial and timbral fidelity; however, it is considerably dependent on the subdivison of the sphere. Moreover, it cannot natively represent a wave arriving at a continuous direction. Possible solutions are proposed.
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