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 |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2016
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/82913 http://hdl.handle.net/10220/40370 |
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機構: | Nanyang Technological University |
語言: | English |
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