{"title":"Adaptive geometric sound propagation based on A-weighting variance measure","authors":"Hongyang Zhou, Zhong Ren, Kun Zhou","doi":"10.1016/j.gmod.2021.101109","DOIUrl":null,"url":null,"abstract":"<div><p>We introduce an A-weighting variance measurement, an objective estimation of the sound quality generated by geometric acoustic methods. Unlike the previous measurement, which applies to the impulse response, our measurement establishes the relationship between the impulse response and the auralized sound that the user hears. We also develop interactive methods to evaluate the measurement at run time and an adaptive algorithm that balances quality and performance based on the measurement. Experiments show that our method is more efficient in a wide variety of scene geometry, input sound, reverberation, and path tracing strategies.</p></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"116 ","pages":"Article 101109"},"PeriodicalIF":2.5000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.gmod.2021.101109","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Graphical Models","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S152407032100014X","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 2
Abstract
We introduce an A-weighting variance measurement, an objective estimation of the sound quality generated by geometric acoustic methods. Unlike the previous measurement, which applies to the impulse response, our measurement establishes the relationship between the impulse response and the auralized sound that the user hears. We also develop interactive methods to evaluate the measurement at run time and an adaptive algorithm that balances quality and performance based on the measurement. Experiments show that our method is more efficient in a wide variety of scene geometry, input sound, reverberation, and path tracing strategies.
期刊介绍：
Graphical Models is recognized internationally as a highly rated, top tier journal and is focused on the creation, geometric processing, animation, and visualization of graphical models and on their applications in engineering, science, culture, and entertainment. GMOD provides its readers with thoroughly reviewed and carefully selected papers that disseminate exciting innovations, that teach rigorous theoretical foundations, that propose robust and efficient solutions, or that describe ambitious systems or applications in a variety of topics.
We invite papers in five categories: research (contributions of novel theoretical or practical approaches or solutions), survey (opinionated views of the state-of-the-art and challenges in a specific topic), system (the architecture and implementation details of an innovative architecture for a complete system that supports model/animation design, acquisition, analysis, visualization?), application (description of a novel application of know techniques and evaluation of its impact), or lecture (an elegant and inspiring perspective on previously published results that clarifies them and teaches them in a new way).
GMOD offers its authors an accelerated review, feedback from experts in the field, immediate online publication of accepted papers, no restriction on color and length (when justified by the content) in the online version, and a broad promotion of published papers. A prestigious group of editors selected from among the premier international researchers in their fields oversees the review process.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
