Liu Jihan, Liu Hongxing, Zhu Jianing, Han Xu, Bai Yanru, Ni Guangjian, Ming Dong
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.
State Key Laboratory of Advanced Medical Materials and Devices, Tianjin University, Tianjin, 300072, China.
Sci Data. 2025 Jun 12;12(1):992. doi: 10.1038/s41597-025-05334-9.
The pinna-related transfer function (PRTF) is critical for localizing and perceiving sound in three-dimensional space. PRTF largely depends on individual spectral cues and the unique physiology of the pinna, necessitating high-resolution data for accurate acoustic modeling. The accuracy of personalized acoustic models could be significantly improved using high-precision physiological data and incorporating advanced simulation methods such as the boundary element method (BEM). We describe a comprehensive dataset of 150 bilateral PRTFs from 75 participants to support developing, improving, and validating personalized PRTF modeling methods. The dataset includes simulated results from binaural laser-scanned models that are accurately validated through empirical measurements. This comprehensive dataset will contribute to acoustic and spatial audio research and support the ongoing advancements in personalized PRTF modeling techniques.
耳廓相关传递函数(PRTF)对于在三维空间中定位和感知声音至关重要。PRTF在很大程度上取决于个体的频谱线索和耳廓独特的生理结构,因此需要高分辨率数据来进行精确的声学建模。使用高精度生理数据并结合边界元法(BEM)等先进模拟方法,可以显著提高个性化声学模型的准确性。我们描述了一个来自75名参与者的150个双侧PRTF的综合数据集,以支持开发、改进和验证个性化PRTF建模方法。该数据集包括通过实证测量准确验证的双耳激光扫描模型的模拟结果。这个综合数据集将有助于声学和空间音频研究,并支持个性化PRTF建模技术的不断进步。