SIA OpenIR  > 水下机器人研究室
Prediction of head-related transfer function based on tensor completion
Wang J(王晶)1,2; Liu, Min1; Wang, Xinyao1; Liu TJ(刘铁军)2; Xie, X.1
Department水下机器人研究室
Source PublicationApplied Acoustics
ISSN0003-682X
2020
Volume157Pages:1-10
Indexed ByEI
EI Accession number20193407330700
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China (No. 61571044, No. 11590772, No. 61473041 and No. 61620106002 ; State Key Laboratory of Robotics
KeywordHead-related transfer function Tensor completion Prediction
AbstractA new head-related transfer function (HRTF) prediction method using tensor completion is proposed to estimate the HRTF in unmeasured directions based on sparse measurements and achieve high spatial resolution HRTF for individual subject. A three-order incomplete tensor prediction model is constructed to describe HRTF with a multi-dimensional structure depending on the subspaces of azimuth, elevation and frequency. Then, low rank tensor completion method is applied to complete this tensor by exploiting the hidden spatial structures of HRTF data, aiming to obtain the HRTF in unmeasured directions based on a small set of sparse measurements, in which gradient descent algorithm and line search strategy are used. Experiments have been conducted based on CIPIC HRTF database to evaluate the prediction performance. The objective results suggest that the proposed method has a better prediction performance than other tensor and linear interpolation methods. The subjective tests show that the proposed predicted HRTF is more approximate to the original one in sound localization similarity.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/25472
Collection水下机器人研究室
Corresponding AuthorWang J(王晶)
Affiliation1.School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
2.State key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Wang J,Liu, Min,Wang, Xinyao,et al. Prediction of head-related transfer function based on tensor completion[J]. Applied Acoustics,2020,157:1-10.
APA Wang J,Liu, Min,Wang, Xinyao,Liu TJ,&Xie, X..(2020).Prediction of head-related transfer function based on tensor completion.Applied Acoustics,157,1-10.
MLA Wang J,et al."Prediction of head-related transfer function based on tensor completion".Applied Acoustics 157(2020):1-10.
Files in This Item: Download All
File Name/Size DocType Version Access License
Prediction of head-r(1773KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang J(王晶)]'s Articles
[Liu, Min]'s Articles
[Wang, Xinyao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang J(王晶)]'s Articles
[Liu, Min]'s Articles
[Wang, Xinyao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang J(王晶)]'s Articles
[Liu, Min]'s Articles
[Wang, Xinyao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Prediction of head-related transfer function based on tensor completion.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.