한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제29권10호
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  • Pages.157-164
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  • 2024
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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A Particle-Grid Method for Efficient Sound Synthesis of Ocean Waves

  • Jong-Hyun Kim (College of Software and Convergence (Dept. of Design Technology), Inha University)
  • 투고 : 2024.08.16
  • 심사 : 2024.10.21
  • 발행 : 2024.10.31
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초록

본 논문에서는 거품 입자의 물리적 속성을 활용하여 거품 사운드를 합성하고 크기를 효율적으로 제어할 수 있는 기법을 제안한다. 물리 기반 시뮬레이션 환경에서 사운드를 표현하는 대표적인 방법은 가상 사운드의 생성과 합성이다. 특히 거품 입자는 개수가 많기 때문에 입자만으로 사운드를 합성하는 것은 계산양이 크며, 이를 계산 양을 줄일 수 있는 방법은 공간(Spatial) 정보인격자를 이용하는 것이다. 본 논문에서는 거품 입자를 격자 공간으로 안정적으로 매핑하고 군집화하는 방법을 제시한다. 또한, 이 구조를 활용하여 사운드의 근원지와 청중의 위치 관계에 따라 사운드의 크기를 제어한다. 결과적으로 본 논문에서 제안하는 방법은 거품 입자의 사운드를 효율적으로 합성하는 방법을 제안한다. 이를 위해 격자 공간에 투영된 거품 입자의 속도와 위치를 활용하고, 청중의 위치 관계 및 사운드의 방향성을 기반으로 거품 입자의 사운드를 합성한다.

In this paper, we propose a technique that utilizes the physical properties of foam particles to synthesize foam sounds and efficiently control their size. A typical way to represent sound in physics-based simulation environments is to generate and synthesize virtual sounds. In particular, foam particles have a large number of particles, so synthesizing sounds using only particles is computationally expensive, and a way to reduce the amount of computation is to use spatial information, lattices. In this paper, we present a method for reliably mapping and clustering foam particles into a lattice space. Furthermore, we utilize this structure to control the loudness of the sound according to the location of the sound source and the audience. As a result, the method proposed in this paper proposes an efficient way to synthesize the sound of bubble particles, which utilizes the velocity and position of the bubble particles projected in the lattice space, and synthesizes the sound of bubble particles based on the position relationship of the audience and the directionality of the sound.

키워드

과제정보

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. RS-2023-00254695, Contribution Rate : 30%). This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2022R1F1A1063180, Contribution Rate : 30%). This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.RS-2022-00155915, Artificial Intelligence Convergence Innovation Human Resources Development (Inha University)) (Contribution Rate: 40%)

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