Effect of switching reproduction area in dynamic local sound field synthesis

Kakeru Kurokawa, Izumi Tsunokuni, Yusuke Ikeda, Naotoshi Osaka, Yasuhiro Oikawa

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

Abstract

Many physical sound field synthesis techniques have been studied. To implement these techniques, a large-scale reproduction system is usually required with a large number of loudspeakers, D/A converters, and amplifiers. Thus, the techniques are not suitable for use in a rooms of an ordinary house. In our recent studies, a physical sound field reproduction system was developed with a digital loudspeaker array and suitable for an ordinary, small room. To more accurately reproduce the sound field with the implemented loudspeakers, an effective method is local sound field synthesis (LSFS). Because the area of the reproduced sound field is limited in LSFS, the reproduction area must track the listener's head movement. To track the listener's head movement, the driving functions of loudspeakers must be changed in real time. In this study, the effect of switching the reproduction area is investigated to determine the appropriate switching rate and size of the local area.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages335-339
Number of pages5
ISBN (Electronic)9781728135755
DOIs
Publication statusPublished - 2019 Oct
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 2019 Oct 152019 Oct 18

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
CountryJapan
CityOsaka
Period19/10/1519/10/18

Keywords

  • Digital Loudspeaker Array
  • Head Tracking
  • Sound Field Synthesis
  • Spectrum Distortion Width
  • Virtual Secondary Sources

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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