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

• Main Authors: He, Jianjun, Gan, Woon-Seng, Tan, Ee-Leng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: 3D audio; HRTF individualization; Head-related transfer function (HRTF); Anthropometry
• Online Access: https://hdl.handle.net/10356/82913; http://hdl.handle.net/10220/40370
• Institution: Nanyang Technological University

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...