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Improvement of virtual sound localization by reinforcement learning and EEG

Research Project

Project/Area Number 24650104
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Sensitivity informatics/Soft computing
Research InstitutionNagaoka University of Technology

Principal Investigator

WADA Yasuhiro  長岡技術科学大学, 工学(系)研究科(研究院), 教授 (70293248)

Co-Investigator(Kenkyū-buntansha) OHISHI Kiyoshi  長岡技術科学大学, 工学部, 教授 (40185187)
KUDO Akihiro  苫小牧工業高等専門学校, 工学部, 准教授 (80455097)
NAMBU Isao  長岡技術科学大学, 工学部, 助教 (40553235)
Project Period (FY) 2012-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Keywords仮想音源 / 頭外音像定位 / 定位精度 / 強化学習
Outline of Final Research Achievements

Virtual sound localization is a technology that allows the user to perceive external sound sources using earphones. The exact sound image localization require an head-related transfer function (HRTF) for each listener.
To solve these problems, in this study, without HRTF measurements, and are intended to acquire the equivalent of the measured individual HRTF. To do so, HRTF is approximated using the Autoregressive Moving Average (ARMA) model, and for the coefficient was using a method of learning by unsupervised reinforcement learning. We used dummy head imitating the upper body of the person at an initial value of the learning, then, dynamically varied from a common HRTF, aimed to acquire each individual HRTF. We were verified whether it is possible to generate the HRTF for the purpose by the simulation. Thereafter, the listener experiment was verified the HRTF localization accuracy of which acquired by the simulation.

Report

(4 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • 2012 Research-status Report
  • Research Products

    (12 results)

All 2014 2013 2012 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (11 results)

  • [Journal Article] Improving the localization accuracy of virtual sound source through reinforcement learning2013

    • Author(s)
      Washizu, M., Morioka, S., Nambu, I., Yano, S., Hokari, H., Wada, Y.
    • Journal Title

      IEEE SMC 2013

      Volume: 1 Pages: 4378-4383

    • DOI

      10.1109/smc.2013.747

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] 強化学習を用いたダミー ヘッドからの個人頭部伝達関数適応に関する検討2014

    • Author(s)
      鷲頭学,森岡周平, 矢野昌平, 穂刈治英, 和田安弘
    • Organizer
      電子情報通信学会信越支部大会
    • Place of Presentation
      信州大学
    • Year and Date
      2014-10-04
    • Related Report
      2014 Annual Research Report
  • [Presentation] 主成分分析を用いた頭部伝達関数のモデル化に関する検討2014

    • Author(s)
      長谷川侑太, 南部功夫, 矢野昌平, 穗刈治英, 和田安弘
    • Organizer
      電子情報通信学会信越支部大会
    • Place of Presentation
      信州大学
    • Year and Date
      2014-10-04
    • Related Report
      2014 Annual Research Report
  • [Presentation] サポートベクターマシンと粒子群最適化を用いた聴覚事象関連電位の分類に関する検討2013

    • Author(s)
      Alejandro Gonzalez, 南部功夫 , 穂刈 治英, 和田安弘
    • Organizer
      電子情報通信学会NC
    • Place of Presentation
      玉川大学
    • Related Report
      2012 Research-status Report
  • [Presentation] Adaptive modeling of HRTFs based on reinforcement learning2012

    • Author(s)
      Shuhei Morioka, Isao Nambu, Sho-hei Yano, Haruhide Hokari, Yasuhiro Wada
    • Organizer
      19th International Conference on Neural Information Processing
    • Place of Presentation
      Doha
    • Related Report
      2012 Research-status Report
  • [Presentation] A method to improve the accuracy of out-of-head sound localization using reinforcement learning: a simulation study2012

    • Author(s)
      Shuhei Morioka, Isao Nambu, Sho-hei Yano, Haruhide Hokari,Yasuhiro Wada
    • Organizer
      The 22th Annual Conference of Japanese Neural Network Society
    • Place of Presentation
      名古屋工業大学
    • Related Report
      2012 Research-status Report
  • [Presentation] 受聴者の評価に基づく強化学習を用いた仮想音源定位の精度向上

    • Author(s)
      鷲頭学, 森岡周平, 南部功夫, 矢野昌平, 穗刈治英, 和田安弘
    • Organizer
      電子情報通信学会信越支部大会
    • Place of Presentation
      長岡技術科学大学
    • Related Report
      2013 Research-status Report
  • [Presentation] DNN を用いた脳波における事象関連電位の分類に関する研究

    • Author(s)
      堀井浩, A. Gonzalez, 南部功夫、王龍標、岩橋政宏、和田安弘
    • Organizer
      電子情報通信学会信越支部大会
    • Place of Presentation
      長岡技術科学大学
    • Related Report
      2013 Research-status Report
  • [Presentation] 適合ウエーブレットと粒子群最適化を用いた聴覚事象関連電位の分類に関する検討

    • Author(s)
      A. Gonzalez, 南部功夫、穗刈治英、和田安弘
    • Organizer
      NUERO2013
    • Place of Presentation
      京都
    • Related Report
      2013 Research-status Report
  • [Presentation] ウェーブレットと粒子群最適化を用いた聴覚事象関連電位の分類に関する検討

    • Author(s)
      Alejandro Gonzalez, 南部功夫 , 穂刈 治英, 和田安弘
    • Organizer
      電子情報通信学会 信越支部大会
    • Place of Presentation
      新潟大学
    • Related Report
      2012 Research-status Report
  • [Presentation] 受聴者の評価に基づく空間的仮想音源の定位精度向上方法の提案

    • Author(s)
      森岡周平, 南部功夫, 矢野昌平, 穂刈治英, 和田安弘
    • Organizer
      電子情報通信学会 信越支部大会
    • Place of Presentation
      新潟大学
    • Related Report
      2012 Research-status Report
  • [Presentation] イヤホン受聴における空間的仮想音源の定位精度向上

    • Author(s)
      森岡周平, 南部功夫, 矢野昌平, 穂刈治英, 和田安弘
    • Organizer
      電子情報通信学会技術研究報告MBE
    • Place of Presentation
      大阪電気通信大学
    • Related Report
      2012 Research-status Report

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Published: 2013-05-31   Modified: 2019-07-29  

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