共同的声音:时间频率作为Delphinus delphis产生的脉冲声音的分类参数
Bruna Pagliani1, Thiago O S Amorim1, Franciele R de Castro1
1Laboratório de Ecologia Comportamental e Bioacústica, Departamento De Zoologia, Instituto De Ciências Biológicas, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.
Behavioural processes
|August 22, 2024
概括
海豚脉冲的声音,包括回声定位点击和爆发的声音,使用时间频率分析进行了分类. 时间参数被证明是最准确的区分这些海豚声调.
科学领域:
- 海洋生物学 海洋生物学
- 生物声学是一种生物声学.
- 动物沟通 动物沟通
背景情况:
- 海豚的发声包括音调 (哨声) 和脉冲声音 (回声定位点击,爆发声音).
- 声定位对于猎物检测和环境识别至关重要,在捕获猎物期间,点击间隔会发生变化.
- 爆发式脉冲声音与社会沟通有关,但它们的多样性尚未得到充分理解.
研究的目的:
- 为了对短嘴海豚 (Delphinus delphis) 产生的脉冲声音进行分类.
- 用聚类和歧视分析分析脉冲声音的时间频率特征.
- 确定对分类海豚脉冲声音最有效的参数.
主要方法:
- 在南大西洋西部,分析了来自短嘴海豚的64条点击列车.
- 时间,频率和联合时间频率参数的比较,使用k-means集群.
- 使用随机森林分析验证集群以评估分类准确性.
主要成果:
- 在所有分析类型中,K-means集群确定了所有脉冲声音的四个不同的集群.
- 时间参数在区分声音类型方面表现出最高的准确性 (Dim1 = 70.2%,Dim2 = 17.2%).
- 随机森林分析证实,时间频率数据集在Delphinus delphis中产生脉冲声音的最佳分类准确度 (84.6%).
结论:
- 时间频率分析有效地分类了Delphinus delphis中的脉冲声音,突出了它们的声学特征.
- 特定的声学参数对于定义这种身份和优化声音生产能源成本至关重要.
- 这项研究有助于了解海豚脉冲发声的复杂性和功能.
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