Sounds in common: Time-frequency as the classification parameters for pulsed sounds produced by Delphinus delphis

IF 1.3 4区 生物学 Q4 BEHAVIORAL SCIENCES
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Abstract

Sounds produced by dolphins can be grouped into tonal (whistles) and pulsed sounds (e.g., echolocation clicks and burst sounds). Clicks are broadband pulses temporarily spaced to allow echo processing between the sound source and the object. Echolocation is related mainly to prey detection and environmental recognition. Echolocation click trains tend to present a decreasing inter-click interval due to a continuous changing of the target's location when the animal approaches to capture the prey. In addition to foraging and feeding contexts, burst pulsed sounds have been associated with short social communication. Although echolocation clicks are relatively well documented, there is no consensus regarding the broad variety of the burst pulsed signals. The present study analyzed time-frequency characteristics by conducting a clustering and discrimination analysis to classify pulsed sounds. A total of 64 click trains were analyzed from short-beaked common dolphins recorded in the slope region of the western South Atlantic Ocean. Three analyses (time; frequency; and combined time-frequency parameters) were compared through k-means clustering and posterior cluster validation using Random forest analysis. The k-means clustering resulted in four clusters for all groups of analysis. The time parameters were the most accurate among the comparisons, with the first two-dimensional axis corresponding to 87 % (Dim1 = 70.2 % and Dim2 = 17.2 %). The random forest analysis showed that the time-frequency dataset was the best classification of pulsed sounds in D. delphis (Accuracy = 84.6 %; confidence interval CI = 65.1 %-95.6 %; p < 0.01). This result considers the animal an acoustical identity, emphasizing the importance of certain parameters that influence this identity and thus reflecting the energy-cost optimization for sound production.

共同的声音:时间-频率作为海豚发出的脉冲声的分类参数。
海豚发出的声音可分为音调声(哨声)和脉冲声(如回声定位点击声和爆裂声)。咔嗒声是宽带脉冲,暂时间隔开来,以便在声源和物体之间进行回声处理。回声定位主要与猎物探测和环境识别有关。当动物接近捕捉猎物时,目标的位置会不断变化,因此回声定位的点击序列往往会出现点击间隔不断缩短的现象。除了觅食和捕食环境外,突发脉冲声音还与短时间的社会交流有关。虽然回声定位的点击声有相对较多的文献记载,但对于脉冲信号的广泛种类还没有达成共识。本研究通过聚类和辨别分析来分析脉冲声的时间频率特性,从而对脉冲声进行分类。本研究分析了在南大西洋西部斜坡地区记录到的短喙普通海豚的 64 个点击音序列。通过 k-means 聚类和使用随机森林分析的后聚类验证,对三种分析(时间、频率和时间频率组合参数)进行了比较。k-means 聚类的结果是所有分析组都有四个聚类。在比较中,时间参数的准确率最高,第一个二维轴的准确率为 87%(Dim1 = 70.2%,Dim2 = 17.2%)。随机森林分析表明,时间-频率数据集是海豚脉冲声的最佳分类方法(准确率 = 84.6%;置信区间 CI = 65.1%-95.6%;p < 0.01)。这一结果认为动物具有声学特征,强调了影响这一特征的某些参数的重要性,从而反映了声音产生的能量成本优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Behavioural Processes
Behavioural Processes 生物-动物学
CiteScore
2.70
自引率
7.70%
发文量
144
审稿时长
4-8 weeks
期刊介绍: Behavioural Processes is dedicated to the publication of high-quality original research on animal behaviour from any theoretical perspective. It welcomes contributions that consider animal behaviour from behavioural analytic, cognitive, ethological, ecological and evolutionary points of view. This list is not intended to be exhaustive, and papers that integrate theory and methodology across disciplines are particularly welcome.
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