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Construction of a Real-time High-precision Sound Field Auralization Platform

研究課題

研究課題/領域番号 22K12123
研究種目

基盤研究(C)

配分区分基金
応募区分一般
審査区分 小区分61020:ヒューマンインタフェースおよびインタラクション関連
研究機関岩手大学

研究代表者

TAN Yiyu  岩手大学, 理工学部, 准教授 (70743243)

研究期間 (年度) 2022-04-01 – 2025-03-31
研究課題ステータス 交付 (2023年度)
配分額 *注記
4,290千円 (直接経費: 3,300千円、間接経費: 990千円)
2024年度: 1,170千円 (直接経費: 900千円、間接経費: 270千円)
2023年度: 1,820千円 (直接経費: 1,400千円、間接経費: 420千円)
2022年度: 1,300千円 (直接経費: 1,000千円、間接経費: 300千円)
キーワードSound field auralization / FDTD / FPGA / sound auralization
研究開始時の研究の概要

This research will focus on the issues of low accuracy and slow computation and investigate a real-time high precision sound field auralization platform using FPGA, in which the FDTD scheme is applied to obtain accurate room impulse response, sound field rendering and binaural rendering are directly implemented by hardware to speed up computation. The research will create new technology of immersive perception in human-computer interaction.

研究実績の概要

This research investigates a real-time high precision sound field auralization platform through algorithm/architecture and software/hardware co-designs. During the second fiscal year, high performance sound field auralization platform was developed. More details and research results are shown as follows.
(1)dataflow analysis and hierarchical parallelism. Dataflow in sound field rendering with finite difference time domain (FDTD) methods was analyzed. Based on it, the processing element was designed, the spatial blocking and temporal blocking were optimized and applied to reduce the required memory bandwidth, buffer size, and reuse data.
(2)acceleration on sound field rendering and convolution. A sound field render based on the FDTD method was developed to compute the impulse response of a sound space. Furthermore, dedicated hardware support for convolution in sound auralization was investigated.
(3)architectural exploration and optimization. The systolic architecture and coarse-grained reconfigurable architecture were explored and optimized for the sound field auralization platform. Different stencil patterns were applied to compute the impulse response of a sound space in sound field renderer.
(4)development and evaluation of hardware prototype machine. The prototype machines based on different FDTD methods were designed using OpenCL programming language and implemented using the FPGA board DE10-Agilex. Their performances were evaluated and compared with the solutions on a desktop machine with an Intel Xeon Gold 6212U processor.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

According to the schedule, high performance sound field auralization platform will be investigated in the second fiscal year. As described in the research outcome, the processing element was designed based on the sound field rendering algorithm with the FDTD methods and analysis of their data flow. Dedicated sound field renderer was developed to compute impulse response of a sound space. Furthermore, different architectures for sound field auralization platform were explored and optimized. Prototype machines were developed using OpenCL and their performances were evaluated and compared with other solutions. The related results have already been presented in international conferences. Based on the above, the project progressed smoothly as we expected.

今後の研究の推進方策

During the second fiscal year, the development of the sound field auralization platform was completed. In the coming year, a virtual concert hall will be developed to demonstrate the real performance, and the technology of high-fidelity auditory perception will be explored. To analyze sound propagation in a virtual concert hall, system optimization techniques will be investigated to speed up performance and improve sampling rate of the output sound.

報告書

(2件)
  • 2023 実施状況報告書
  • 2022 実施状況報告書
  • 研究成果

    (10件)

すべて 2023 その他

すべて 国際共同研究 (2件) 学会発表 (6件) (うち国際学会 4件) 備考 (2件)

  • [国際共同研究] Cedars-Sinai Medical Center(米国)

    • 関連する報告書
      2023 実施状況報告書
  • [国際共同研究] Cedars-Sinai Medical Center(米国)

    • 関連する報告書
      2022 実施状況報告書
  • [学会発表] FPGA-based Acceleration on Sound Field Rendering2023

    • 著者名/発表者名
      Yiyu Tan, Xin Lu, Peng Chen, and Yusuke Tanimu
    • 学会等名
      電子情報通信学会機能集積情報システム研究会
    • 関連する報告書
      2023 実施状況報告書
  • [学会発表] Design of FPGA-based High-order FDTD Method for Room Acoustics2023

    • 著者名/発表者名
      Yiyu Tan, Xin Lu, Guangfei Liu, Peng Chen, and Yusuke Tanimu
    • 学会等名
      the 26th International Conference on Digital Audio Effects
    • 関連する報告書
      2023 実施状況報告書
    • 国際学会
  • [学会発表] Evaluation of Reduced Routing Resources for HPC-Oriented CGRAs2023

    • 著者名/発表者名
      Carlos Cortes, Boma Adhi, Tomohiro Ueno, Yiyu Tan, Takuya Kojima, Artur Podobas, and Kentaro Sato
    • 学会等名
      リコンフィギャラブルシステム研究会
    • 関連する報告書
      2023 実施状況報告書
  • [学会発表] Less for More: Reducing Intra-CGRA Connectivity for Higher Performance and Efficiency in HPC2023

    • 著者名/発表者名
      Boma Adhi, Carlos Cortes, Emanuele Del Sozzo, Tomohiro Ueno, Yiyu Tan, Takuya Kojima, Artur Podobas, and Kentaro Sano
    • 学会等名
      The Second International Workshop on Coarse-Grained Reconfigurable Architectures for High-Performance Computing
    • 関連する報告書
      2023 実施状況報告書
    • 国際学会
  • [学会発表] An FPGA-based Sound Field Renderer for High-Precision Sound Field Auralization2023

    • 著者名/発表者名
      Yiyu Tan, Xin Lu, Guanghui Liu, Peng Chen,Truong Thao Nguyen, and Yusuke Tanimura
    • 学会等名
      International Conference on High Performance Computing in Asia-Pacific Region
    • 関連する報告書
      2022 実施状況報告書
    • 国際学会
  • [学会発表] High-Performance Sound Field Auralization2023

    • 著者名/発表者名
      Yiyu Tan, Xin Lu, Guanghui Liu, Peng Chen, and Yusuke Tanimura
    • 学会等名
      The 4th R-CCS International Symposium
    • 関連する報告書
      2022 実施状況報告書
    • 国際学会
  • [備考] Yiyu's Lab

    • URL

      https://sites.google.com/view/tan-lab/

    • 関連する報告書
      2023 実施状況報告書
  • [備考] Yiyu's Laboratory

    • URL

      https://sites.google.com/view/tan-lab/publication

    • 関連する報告書
      2022 実施状況報告書

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公開日: 2022-04-19   更新日: 2024-12-25  

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