Quantitative Soundscape Analysis to Understand Multidimensional Features

Frontiers in Marine Science

Jennifer L. Miksis-Olds¹  Kim Lowell²  Michael James Smith²  Dylan Charles Wilford²  Anthony P. Lyons²  Daniel R. Howard³  S. Bruce Martin⁴ 

[1] Center for Acoustics Research and Education, Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, United States;Center for Coastal and Ocean Mapping, University of New Hampshire, Durham, CA, United States;Department of Biological Sciences, College of Life Sciences and Agriculture, University of New Hampshire, Durham, NH, United States;JASCO Applied Sciences (Canada) Ltd., Victoria, BC, Canada;School of Marine Science and Ocean Engineering, University of New Hampshire, Durham, NH, United States;

关键词: soundscape;    kurtosis;    Dissimilarity Index;    ocean sound;    metrics;    marine acoustics;   

DOI  :  10.3389/fmars.2021.672336

来源: DOAJ

【 摘 要 】

A methodology for the analysis of soundscapes was developed in an attempt to facilitate efficient and accurate soundscape comparisons across time and space. The methodology consists of a collection of traditional soundscape metrics, statistical measures, and acoustic indices that were selected to quantify several salient properties of marine soundscapes: amplitude, impulsiveness, periodicity, and uniformity. The metrics were calculated over approximately 30 h of semi-continuous passive acoustic data gathered in seven unique acoustic environments. The resultant metric values were compared to a priori descriptions and cross-examined statistically to determine which combination most effectively captured the characteristics of the representative soundscapes. The best measures of amplitude, impulsiveness, periodicity, and uniformity were determined to be SPLrms and SPLpk for amplitude, kurtosis for impulsiveness, an autocorrelation based metric for periodicity, and the Dissimilarity index for uniformity. The metrics were combined to form the proposed “Soundscape Code,” which allows for rapid multidimensional and direct comparisons of salient soundscape properties across time and space. This initial characterization will aid in directing further analyses and guiding subsequent assessments to understand soundscape dynamics.

【 授权许可】

Unknown