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

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...

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Main Authors: He, Jianjun, Gan, Woon-Seng, Tan, Ee-Leng
其他作者: School of Electrical and Electronic Engineering
格式: Conference or Workshop Item
語言:English
出版: 2016
主題:
在線閱讀:https://hdl.handle.net/10356/82913
http://hdl.handle.net/10220/40370
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