鸟类鸣叫的感知与心理声学特征

IF 3.4 2区 物理与天体物理 Q1 ACOUSTICS
Joo-Young Hong , Bhan Lam , Zhen-Ting Ong , Kenneth Ooi , Woon-Seng Gan
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引用次数: 0

摘要

鸟鸣因其对人类感知和幸福感的积极影响而被广泛认可,使其成为声景设计的重要组成部分。本文探讨了鸟类鸣叫的感知声学和心理声学特征及其在声景设计中的潜在应用。共收集了100种鸟鸣,并使用心理声学指标(响度、清晰度、粗糙度和波动强度)进行了分析。然后在实验室环境中使用13个语义差异属性对鸟鸣进行主观评估,以确定鸟鸣的主要感知成分,并基于这些成分对它们进行聚类。主成分分析确定了三个主要的感知成分:PC1(温和),PC2(高音调)和PC3(活泼)。心理声学分析显示,轻柔与响度、锐度和粗糙度呈负相关,而活泼与这些参数呈正相关。基于感知成分的聚类分析将鸟鸣分为四个不同的聚类,其中聚类3和聚类4因其平静和迷人的品质而最适合用于声景增强。线性判别分析以中等准确度(64%)将鸟鸣分类,证明了心理声学参数预测感知特征的潜力。聚类3的分类准确率最高(73%),而聚类4的分类准确率最低(50%),表明心理声学属性重叠。这些发现为将鸟鸣融入声景设计提供了一种感知驱动的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptual and psychoacoustical characteristics of birdsongs
Birdsongs are widely recognized for their positive effects on human perception and well-being, making them valuable components of soundscape design. This study investigates the perceptual and psychoacoustic characteristics of birdsongs and their potential application in soundscape designs. A total of 100 birdsongs were collected and analyzed using psychoacoustic indicators (loudness, sharpness, roughness, and fluctuation strength). Subjective assessments of the birdsongs were then conducted using 13 semantic differential attributes in a laboratory setting to identify the main perceptual components of the birdsongs and to cluster them based on these components. Principal component analysis identified three principal perceptual components: PC1 (Gentleness), PC2 (High-pitch), and PC3 (Liveliness). Psychoacoustic analysis revealed that gentleness was negatively correlated with loudness, sharpness, and roughness, whereas liveliness exhibited positive associations with these parameters. Cluster analysis based on the perceptual components categorized the birdsongs into four distinct clusters, with Clusters 3 and 4 being most suitable for soundscape enhancement due to their calm and engaging qualities. Linear discriminant analysis classified birdsongs into clusters with moderate accuracy (64%), demonstrating the potential of psychoacoustic parameters for predicting perceptual characteristics. Cluster 3 achieved the highest classification accuracy (73%), while Cluster 4 had the lowest (50%), suggesting overlapping psychoacoustic attributes. These findings provide a perception-driven approach for incorporating birdsongs into soundscape design.
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来源期刊
Applied Acoustics
Applied Acoustics 物理-声学
CiteScore
7.40
自引率
11.80%
发文量
618
审稿时长
7.5 months
期刊介绍: Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.
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