Prediction Method for Compression of Spherical Microphone Array Signals Using Geometric Information

Shuichi Sakamoto, Arif Wicaksono, Jorge Trevino, Cesar Salvador, Yoiti Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previously, we proposed a method to achieve high-precision measurement systems to record 3D sound-space information. This enables the transmission of spatial sound to distant places, and enables its preservation. Our method, named Symmetrical object with ENchased ZIllion microphones (SENZI), was implemented using a spherical microphone array with 252 microphones. It was applied to the recording of 3D sound-space information. The microphone positions follow an icosahedral pattern. Reproducing a 3D sound space recorded with the SENZI implementation requires transmission of all the microphone signals. However, the necessarily large number of channels produce vast amounts of data. Therefore, it is important to compress these data without markedly reducing the accuracy of the reproduced 3D sound-space. In this paper, we propose a multi-channel sound signal compression technique for recordings done with a SENZI microphone array. Inter-channel correlation in the SENZI system is extremely high because the microphones are arranged densely on the sphere. Our proposed method exploits this correlation to predict some microphone signals from those recorded by microphones that are aligned with the vertices of the underlying icosahedron. The possibility of recovering some microphone signals from those of their neighbors is verified through computer simulations of a SENZI array.

Original languageEnglish
Title of host publicationProceedings - 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
EditorsJeng-Shyang Pan, Ching-Yu Yang, Hsiang-Cheh Huang, Ivan Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages376-379
Number of pages4
ISBN (Electronic)9781509001880
DOIs
Publication statusPublished - 2016 Feb 19
Event11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015 - Adelaide, Australia
Duration: 2015 Sep 232015 Sep 25

Publication series

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

Other

Other11th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2015
CountryAustralia
CityAdelaide
Period15/9/2315/9/25

Keywords

  • compression
  • head-related transfer function (HRTF)
  • icosahedral symmetry
  • prediction
  • sound field recording
  • spherical microphone array

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing
  • Artificial Intelligence
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Sakamoto, S., Wicaksono, A., Trevino, J., Salvador, C., & Suzuki, Y. (2016). Prediction Method for Compression of Spherical Microphone Array Signals Using Geometric Information. 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. 376-379). [7415835] (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.2015.91