On the preprocessing and postprocessing of HRTF individualization based on sparse representation of anthropometric features

• المؤلفون الرئيسيون: He, Jianjun, Gan, Woon-Seng, Tan, Ee-Leng
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2016
• الموضوعات: 3D audio; HRTF individualization; Head-related transfer function (HRTF); Anthropometry
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/82913; http://hdl.handle.net/10220/40370

Individualization of head-related transfer functions (HRTFs) can be realized using the person's anthropometry with a pretrained model. This model usually establishes a direct linear or non-linear mapping from anthropometry to HRTFs in the training database. Due to the complex relation between a...