{"title":"A Liquid Sound Retrieval using History of Velocities in Physically-based Simulation","authors":"Hyuga Saito, Syuhei Sato, Y. Dobashi","doi":"10.1145/3476124.3488643","DOIUrl":null,"url":null,"abstract":"This paper presents a novel method for synthesizing sound effects for fluid animation. Previous approaches synthesize the sound for fluids by physically-based simulation, but these approaches need a huge computational cost. To address this, we propose a data-driven method for synthesizing sound effects for fluids. In this paper, we focus on liquid sound. A liquid sound database which consists of a set of recorded sound clips is prepared in advance, and then the most suitable sound clip for an input liquid motion is automatically retrieved from the database. The retrieval is achieved by comparing a waveform of the sound and a history of velocity of the liquid motion computed by the simulation. The velocity history is computed for the regions where the liquid sound is expected to occur. Then, a distance between the velocity history and the waveform of each sound clip in the database is calculated, and our system chooses the clip with the minimum distance. Our method achieves fast synthesis of liquid sound for simulated liquid motion, once the database is prepared. In this paper, we use a small database containing a few sound clips and evaluate the effectiveness of our retrieval approach, as a preliminary experiment of this research.","PeriodicalId":199099,"journal":{"name":"SIGGRAPH Asia 2021 Posters","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGGRAPH Asia 2021 Posters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3476124.3488643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a novel method for synthesizing sound effects for fluid animation. Previous approaches synthesize the sound for fluids by physically-based simulation, but these approaches need a huge computational cost. To address this, we propose a data-driven method for synthesizing sound effects for fluids. In this paper, we focus on liquid sound. A liquid sound database which consists of a set of recorded sound clips is prepared in advance, and then the most suitable sound clip for an input liquid motion is automatically retrieved from the database. The retrieval is achieved by comparing a waveform of the sound and a history of velocity of the liquid motion computed by the simulation. The velocity history is computed for the regions where the liquid sound is expected to occur. Then, a distance between the velocity history and the waveform of each sound clip in the database is calculated, and our system chooses the clip with the minimum distance. Our method achieves fast synthesis of liquid sound for simulated liquid motion, once the database is prepared. In this paper, we use a small database containing a few sound clips and evaluate the effectiveness of our retrieval approach, as a preliminary experiment of this research.