| 研究課題/領域番号 |
22K12123
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| 研究機関 | 岩手大学 |
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研究代表者 |
TAN Yiyu 岩手大学, 理工学部, 准教授 (70743243)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | Sound field auralization / FDTD / FPGA |
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| 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 first fiscal year, sound field in a room was accurately analyzed using numerical method. More details and research results are shown as follows.
(1)wave-based algorithm to simulate room impulse response. The finite difference time domain (FDTD) method was focused on, and its schemes with different approximations in spatial and time domains were derived and analyzed. Their performances were compared, including hardware resource consumption, grid mesh dimensions, memory requirement, computing speed, and so on. An FPGA-based sound field renderer with the 2nd FDTD scheme was developed to simulate room impulse response, and it outperformed the software simulations carried out on a desktop machine with an Intel Xeon Gold 6212U 24-core processor even though it ran at about 350 MHz.
(2)binaural rendering. Head related transformation functions were simulated to analyze the sound field around listener’s head, and their implementations using FPGA were investigated.
(3)spatial decomposition of sound geometry. The spatial decomposition methods were studied to discretize a complex sound geometry.
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| 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, accurate sound field prediction in a room and around human body will be investigated through numerical analysis in the first fiscal year. As described in the research outcome, the FDTD schemes with different approximations in spatial domain and time domain were studied to analyze room impulse response. The binaural rendering was applied to analyze the sound field around people’s head. And the spatial decomposition methods were studied to discretize complex sound geometries accurately, which may improve the computation accuracy of FDTD schemes. The related results have already presented in international conferences. Based on the above, the project is progressed smoothly as what we expected.
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| 今後の研究の推進方策 |
During the first fiscal year, the investigation of accurate sound field prediction was completed. In the coming year, a high-performance sound field auralization platform will be developed to verify the FDTD-based sound field rendering and convolutions in sound field auralization by using FPGAs. System optimization approaches will be investigated to improve the performance of the sound field auralization platform. As a comparison, the counterpart systems based on multi-core CPUs and GPUs will also be studied. The performances of the FPGA-based platform and the counterpart systems will be evaluated and compared.
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| 次年度使用額が生じた理由 |
In last year, the pandemic of the COVID-19 virus resulted in the cancelling of business trips to present the research works physically. Furthermore, since the working affiliation was changed last April, the expected students involved in this project are not available. Therefore, the budget for business trips and buying computers for students is saved. The remaining budget will be used to upgrade the development environment, attend conferences to present our research works, pay the publication fee, and buy the required consumable equipment for system debugging in the coming fiscal year.
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