• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

采用多层次分析法的直升机噪声烦恼度的音质度量指标。

Sound quality metric indicators of rotorcraft noise annoyance using multilevel analysis.

机构信息

Structural Acoustics Branch, NASA Langley Research Center, Hampton, Virginia 23681, USA.

Aeroacoustics Branch, NASA Langley Research Center, Hampton, Virginia 23681, USA.

出版信息

J Acoust Soc Am. 2023 Feb;153(2):867. doi: 10.1121/10.0016888.

DOI:10.1121/10.0016888
PMID:36859124
Abstract

It is hypothesized that sound quality metrics, particularly loudness, sharpness, tonality, impulsiveness, fluctuation strength, and roughness, could all be possible indicators of the reported annoyance to helicopter noise. To test this hypothesis, a psychoacoustic test was conducted in which subjects rated their annoyance levels to synthesized helicopter sounds. After controlling for loudness, a previous analysis using linear regression identified sharpness and tonality as important factors in predicting annoyance, followed by fluctuation strength. The current work focuses on multilevel regression techniques in which the regression slopes and intercepts are assumed to take on normal distributions across subjects. The importance of each metric is evaluated, and the variation of regression parameters among subjects is evaluated using simple models. Then more complete models are investigated, which include the combination of selected metrics and subject-specific effects. While the conclusions from linear regression analysis are affirmed by multilevel analysis, other important effects emerge. In particular, subject-specific intercepts are shown to be more important than subject-specific slopes. In addition, subject-specific slopes for fluctuation strength and sharpness are more important than for tonality. Using a multilevel framework, the relative importance of sound quality metrics is reexamined, and the potential for modeling human annoyance to helicopter noise based on sound quality metrics is explored.

摘要

人们假设,音质指标,特别是响度、尖锐度、音调、瞬态、波动强度和粗糙度,都可能是直升机噪声引起的听觉烦恼的指标。为了验证这一假设,进行了一项心理声学测试,让受试者对合成直升机声音的烦恼程度进行评分。在控制了响度之后,先前使用线性回归的分析表明,尖锐度和音调是预测烦恼的重要因素,其次是波动强度。目前的工作侧重于多层次回归技术,其中回归斜率和截距在受试者之间被假设为正态分布。评估每个指标的重要性,并使用简单的模型评估参数在受试者之间的变化。然后研究更完整的模型,包括选定指标和受试者特定效应的组合。虽然多层次分析证实了线性回归分析的结论,但也出现了其他重要的效应。特别是,与受试者特定斜率相比,受试者特定截距更为重要。此外,波动强度和尖锐度的受试者特定斜率比音调的更为重要。使用多层次框架,重新检查了音质指标的相对重要性,并探讨了基于音质指标对直升机噪声引起的人类烦恼进行建模的可能性。

相似文献

1
Sound quality metric indicators of rotorcraft noise annoyance using multilevel analysis.采用多层次分析法的直升机噪声烦恼度的音质度量指标。
J Acoust Soc Am. 2023 Feb;153(2):867. doi: 10.1121/10.0016888.
2
Investigation of Metrics for Assessing Human Response to Drone Noise.评估人类对无人机噪声反应的度量标准研究。
Int J Environ Res Public Health. 2022 Mar 8;19(6):3152. doi: 10.3390/ijerph19063152.
3
Prediction of perceived annoyance caused by an electric drone noise through its technical, operational, and psychoacoustic parameters.通过电动无人机噪声的技术、运行和心理声学参数预测感知到的烦恼。
J Acoust Soc Am. 2024 Sep 1;156(3):1929-1941. doi: 10.1121/10.0028514.
4
Integrated Evaluation of the Aeroacoustics and Psychoacoustics of a Single Propeller.单螺旋桨空气动力噪声与心理声学综合评价
Int J Environ Res Public Health. 2023 Jan 20;20(3):1955. doi: 10.3390/ijerph20031955.
5
Discomfort estimation for aircraft cabin noise using linear regression and modified psychoacoustic annoyance approaches.使用线性回归和修正的心理声学烦恼方法估计飞机客舱噪声不适。
J Acoust Soc Am. 2023 Oct 1;154(4):1963-1976. doi: 10.1121/10.0020838.
6
The annoyance of snoring and psychoacoustic parameters: a step towards an objective measurement.打鼾的烦恼和心理声学参数:迈向客观测量的一步。
Eur Arch Otorhinolaryngol. 2012 May;269(5):1537-43. doi: 10.1007/s00405-011-1878-2. Epub 2011 Dec 14.
7
Psychoacoustic analysis of contra-rotating propeller noise for unmanned aerial vehicles.无人机反向旋转螺旋桨噪声的心理声学分析
J Acoust Soc Am. 2021 Feb;149(2):835. doi: 10.1121/10.0003432.
8
Short-term noise annoyance towards drones and other transportation noise sources: A laboratory study.对无人机及其他交通噪声源的短期噪声烦恼:一项实验室研究。
J Acoust Soc Am. 2024 Oct 1;156(4):2578-2595. doi: 10.1121/10.0032386.
9
Psychoacoustic quantification of mechanical heart valve noise.机械心脏瓣膜噪声的心理声学量化
J Heart Valve Dis. 2005 Jan;14(1):89-95.
10
Effects of noise on mental performance and annoyance considering task difficulty level and tone components of noise.考虑任务难度水平和噪声音调成分时,噪声对心理表现和烦恼的影响。
J Environ Health Sci Eng. 2019 Apr 16;17(1):353-365. doi: 10.1007/s40201-019-00353-2. eCollection 2019 Jun.

引用本文的文献

1
Assessing the Soundscape Appropriateness in the Vicinity of a Heliport in an Urban Park of Quito (Ecuador) Using Immersive Audio-Visual Scenarios.使用沉浸式视听场景评估基多(厄瓜多尔)城市公园中直升机场附近的声景适宜性。
Int J Environ Res Public Health. 2022 May 18;19(10):6116. doi: 10.3390/ijerph19106116.
2
Investigation of Metrics for Assessing Human Response to Drone Noise.评估人类对无人机噪声反应的度量标准研究。
Int J Environ Res Public Health. 2022 Mar 8;19(6):3152. doi: 10.3390/ijerph19063152.
3
A Psychoacoustic Approach to Building Knowledge about Human Response to Noise of Unmanned Aerial Vehicles.
一种关于人类对无人机噪声反应的知识构建的心理声学方法。
Int J Environ Res Public Health. 2021 Jan 14;18(2):682. doi: 10.3390/ijerph18020682.