New method for synthesizing personalized head-related transfer function

Wang Lei; Zeng Xiangyang

doi:10.1109/IWAENC.2016.7602913

New method for synthesizing personalized head-related transfer function

Wang Lei, Zeng Xiangyang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Personalized HRTFs(Head-related Transfer Functions) can be synthesized through the corresponding anthropometric features by the linear or nonlinear mapping from anthropometric features to HRTFs in the database. Some methods for synthesizing personalized HRTFs had been proposed. However, they were hard to be applied in practical circumstances to some extent. In this paper, we use principle component analysis to obtain the weight matrix and eigenmatrix of HRTFs, then use canonical correlation analysis between anthropometric features and HRTFs to wipe the redundant information of the features, and model the mapping from anthropometric features to eigenmatrix with GRNN(Generalized Regression Neural Network). Based on these work, the personalized HRTFs can be synthesized. The experimental results show the effectiveness of this new method.

Original language	English
Title of host publication	2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509020072
DOIs	https://doi.org/10.1109/IWAENC.2016.7602913
State	Published - 19 Oct 2016
Event	15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China Duration: 13 Sep 2016 → 16 Sep 2016

Publication series

Name	2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Conference

Conference	15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
Country/Territory	China
City	Xi'an
Period	13/09/16 → 16/09/16

Keywords

Head-related transfer function
HRTF modeling
Personalization
Virtual auditory

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10.1109/IWAENC.2016.7602913

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Lei, W., & Xiangyang, Z. (2016). New method for synthesizing personalized head-related transfer function. In 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016 Article 7602913 (2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAENC.2016.7602913

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title = "New method for synthesizing personalized head-related transfer function",

abstract = "Personalized HRTFs(Head-related Transfer Functions) can be synthesized through the corresponding anthropometric features by the linear or nonlinear mapping from anthropometric features to HRTFs in the database. Some methods for synthesizing personalized HRTFs had been proposed. However, they were hard to be applied in practical circumstances to some extent. In this paper, we use principle component analysis to obtain the weight matrix and eigenmatrix of HRTFs, then use canonical correlation analysis between anthropometric features and HRTFs to wipe the redundant information of the features, and model the mapping from anthropometric features to eigenmatrix with GRNN(Generalized Regression Neural Network). Based on these work, the personalized HRTFs can be synthesized. The experimental results show the effectiveness of this new method.",

keywords = "Head-related transfer function, HRTF modeling, Personalization, Virtual auditory",

author = "Wang Lei and Zeng Xiangyang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 ; Conference date: 13-09-2016 Through 16-09-2016",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/IWAENC.2016.7602913",

language = "英语",

series = "2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016",

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Lei, W & Xiangyang, Z 2016, New method for synthesizing personalized head-related transfer function. in 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016., 7602913, 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016, Institute of Electrical and Electronics Engineers Inc., 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016, Xi'an, China, 13/09/16. https://doi.org/10.1109/IWAENC.2016.7602913

New method for synthesizing personalized head-related transfer function. / Lei, Wang; Xiangyang, Zeng.
2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7602913 (2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Lei, Wang

AU - Xiangyang, Zeng

PY - 2016/10/19

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N2 - Personalized HRTFs(Head-related Transfer Functions) can be synthesized through the corresponding anthropometric features by the linear or nonlinear mapping from anthropometric features to HRTFs in the database. Some methods for synthesizing personalized HRTFs had been proposed. However, they were hard to be applied in practical circumstances to some extent. In this paper, we use principle component analysis to obtain the weight matrix and eigenmatrix of HRTFs, then use canonical correlation analysis between anthropometric features and HRTFs to wipe the redundant information of the features, and model the mapping from anthropometric features to eigenmatrix with GRNN(Generalized Regression Neural Network). Based on these work, the personalized HRTFs can be synthesized. The experimental results show the effectiveness of this new method.

AB - Personalized HRTFs(Head-related Transfer Functions) can be synthesized through the corresponding anthropometric features by the linear or nonlinear mapping from anthropometric features to HRTFs in the database. Some methods for synthesizing personalized HRTFs had been proposed. However, they were hard to be applied in practical circumstances to some extent. In this paper, we use principle component analysis to obtain the weight matrix and eigenmatrix of HRTFs, then use canonical correlation analysis between anthropometric features and HRTFs to wipe the redundant information of the features, and model the mapping from anthropometric features to eigenmatrix with GRNN(Generalized Regression Neural Network). Based on these work, the personalized HRTFs can be synthesized. The experimental results show the effectiveness of this new method.

KW - Head-related transfer function

KW - HRTF modeling

KW - Personalization

KW - Virtual auditory

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M3 - 会议稿件

AN - SCOPUS:84997514475

T3 - 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

BT - 2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Y2 - 13 September 2016 through 16 September 2016

ER -

New method for synthesizing personalized head-related transfer function

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