A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere

Jorge Trevino; Shichao Hu; Cesar Salvador; Shuichi Sakamoto; Junfeng Li; Y. Oiti Suzuki

doi:10.1109/IIH-MSP.2015.108

A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere

Jorge Trevino, Shichao Hu, Cesar Salvador, Shuichi Sakamoto, Junfeng Li, Y. Oiti Suzuki

RIEC - Human and Bio Information Systems Division

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

3 Citations (Scopus)

Abstract

The head-related transfer function (HRTF) characterizes the propagation of sound from its source to the listener's ears. It is commonly used in the research of spatial sound and its applications. The HRTF takes different values depending on the source's position relative to the listener and its frequency. Storing its values directly results in considerably large data sets. Previous research to encode the HRTF using harmonic functions cannot handle local features efficiently. This paper advances a new analysis method to represent raw HRTF data using local functions of the azimuth and elevation angles. The proposal treats features of different scales separately, in a manner similar to the wavelet transform. This allows us to compress HRTF data considerably while accurately preserving its features at all scales. The proposal yields better accuracy than harmonic analysis methods for the finer spatial patterns, this holds even when our method uses more aggressive compression.

Original language	English
Title of host publication	Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
Editors	Jeng-Shyang Pan, Ching-Yu Yang, Hsiang-Cheh Huang, Ivan Lee
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	372-375
Number of pages	4
ISBN (Electronic)	9781509001880
DOIs	https://doi.org/10.1109/IIH-MSP.2015.108
Publication status	Published - 2016 Feb 19
Event	11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 - Adelaide, Australia Duration: 2015 Sept 23 → 2015 Sept 25

Publication series

Name	Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015

Conference

Conference	11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
Country/Territory	Australia
City	Adelaide
Period	15/9/23 → 15/9/25

Keywords

compression
functions on the sphere
head-related transfer function
wavelet transform

Access to Document

10.1109/IIH-MSP.2015.108

Cite this

Trevino, J., Hu, S., Salvador, C., Sakamoto, S., Li, J., & Suzuki, Y. O. (2016). A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere. In J-S. Pan, C-Y. Yang, H-C. Huang, & I. Lee (Eds.), Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 (pp. 372-375). Article 7415834 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIH-MSP.2015.108

Trevino, Jorge ; Hu, Shichao ; Salvador, Cesar et al. / A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere. Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. editor / Jeng-Shyang Pan ; Ching-Yu Yang ; Hsiang-Cheh Huang ; Ivan Lee. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 372-375 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015).

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title = "A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere",

abstract = "The head-related transfer function (HRTF) characterizes the propagation of sound from its source to the listener's ears. It is commonly used in the research of spatial sound and its applications. The HRTF takes different values depending on the source's position relative to the listener and its frequency. Storing its values directly results in considerably large data sets. Previous research to encode the HRTF using harmonic functions cannot handle local features efficiently. This paper advances a new analysis method to represent raw HRTF data using local functions of the azimuth and elevation angles. The proposal treats features of different scales separately, in a manner similar to the wavelet transform. This allows us to compress HRTF data considerably while accurately preserving its features at all scales. The proposal yields better accuracy than harmonic analysis methods for the finer spatial patterns, this holds even when our method uses more aggressive compression.",

keywords = "compression, functions on the sphere, head-related transfer function, wavelet transform",

author = "Jorge Trevino and Shichao Hu and Cesar Salvador and Shuichi Sakamoto and Junfeng Li and Suzuki, {Y. Oiti}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 ; Conference date: 23-09-2015 Through 25-09-2015",

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Trevino, J, Hu, S, Salvador, C, Sakamoto, S, Li, J & Suzuki, YO 2016, A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere. in J-S Pan, C-Y Yang, H-C Huang & I Lee (eds), Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015., 7415834, Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015, Institute of Electrical and Electronics Engineers Inc., pp. 372-375, 11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015, Adelaide, Australia, 15/9/23. https://doi.org/10.1109/IIH-MSP.2015.108

A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere. / Trevino, Jorge; Hu, Shichao; Salvador, Cesar et al.
Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. ed. / Jeng-Shyang Pan; Ching-Yu Yang; Hsiang-Cheh Huang; Ivan Lee. Institute of Electrical and Electronics Engineers Inc., 2016. p. 372-375 7415834 (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015).

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

TY - GEN

T1 - A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere

AU - Trevino, Jorge

AU - Hu, Shichao

AU - Salvador, Cesar

AU - Sakamoto, Shuichi

AU - Li, Junfeng

AU - Suzuki, Y. Oiti

PY - 2016/2/19

Y1 - 2016/2/19

N2 - The head-related transfer function (HRTF) characterizes the propagation of sound from its source to the listener's ears. It is commonly used in the research of spatial sound and its applications. The HRTF takes different values depending on the source's position relative to the listener and its frequency. Storing its values directly results in considerably large data sets. Previous research to encode the HRTF using harmonic functions cannot handle local features efficiently. This paper advances a new analysis method to represent raw HRTF data using local functions of the azimuth and elevation angles. The proposal treats features of different scales separately, in a manner similar to the wavelet transform. This allows us to compress HRTF data considerably while accurately preserving its features at all scales. The proposal yields better accuracy than harmonic analysis methods for the finer spatial patterns, this holds even when our method uses more aggressive compression.

AB - The head-related transfer function (HRTF) characterizes the propagation of sound from its source to the listener's ears. It is commonly used in the research of spatial sound and its applications. The HRTF takes different values depending on the source's position relative to the listener and its frequency. Storing its values directly results in considerably large data sets. Previous research to encode the HRTF using harmonic functions cannot handle local features efficiently. This paper advances a new analysis method to represent raw HRTF data using local functions of the azimuth and elevation angles. The proposal treats features of different scales separately, in a manner similar to the wavelet transform. This allows us to compress HRTF data considerably while accurately preserving its features at all scales. The proposal yields better accuracy than harmonic analysis methods for the finer spatial patterns, this holds even when our method uses more aggressive compression.

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Trevino J, Hu S, Salvador C, Sakamoto S, Li J, Suzuki YO. A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere. In Pan J-S, Yang C-Y, Huang H-C, Lee I, editors, Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 372-375. 7415834. (Proceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015). doi: 10.1109/IIH-MSP.2015.108

A Compact Representation of the Head-Related Transfer Function Inspired by the Wavelet Transform on the Sphere

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