港海豹幼崽叫声中的自发节律。
Spontaneous rhythms in a harbor seal pup calls.
作者信息
Ravignani Andrea
机构信息
Research Department, Sealcentre Pieterburen, Hoofdstraat 94a, 9968 AG, Pieterburen, The Netherlands.
Artificial Intelligence Lab, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium.
出版信息
BMC Res Notes. 2018 Jan 3;11(1):3. doi: 10.1186/s13104-017-3107-6.
OBJECTIVES
Timing and rhythm (i.e. temporal structure) are crucial, though historically neglected, dimensions of animal communication. When investigating these in non-human animals, it is often difficult to balance experimental control and ecological validity. Here I present the first step of an attempt to balance the two, focusing on the timing of vocal rhythms in a harbor seal pup (Phoca vitulina). Collection of this data had a clear aim: To find spontaneous vocal rhythms in this individual in order to design individually-adapted and ecologically-relevant stimuli for a later playback experiment.
DATA DESCRIPTION
The calls of one seal pup were recorded. The audio recordings were annotated using Praat, a free software to analyze vocalizations in humans and other animals. The annotated onsets and offsets of vocalizations were then imported in a Python script. The script extracted three types of timing information: the duration of calls, the intervals between calls' onsets, and the intervals between calls' maximum-intensity peaks. Based on the annotated data, available to download, I provide simple descriptive statistics for these temporal measures, and compare their distributions.
目标
时间和节奏（即时间结构）是动物交流中至关重要但在历史上被忽视的维度。在对非人类动物进行这些方面的研究时，往往很难在实验控制和生态效度之间取得平衡。在此，我展示了在这两方面取得平衡的尝试的第一步，重点关注斑海豹幼崽（Phoca vitulina）发声节奏的时间安排。收集这些数据有一个明确的目标：在这只个体中找到自发的发声节奏，以便为后续的回放实验设计个体适应且与生态相关的刺激。
数据描述
记录了一只海豹幼崽的叫声。音频记录使用Praat进行注释，Praat是一款用于分析人类和其他动物发声的免费软件。然后将注释后的发声起始和结束时间导入到一个Python脚本中。该脚本提取了三种类型的时间信息：叫声的持续时间、叫声起始之间的间隔以及叫声最大强度峰值之间的间隔。基于可下载的注释数据，我为这些时间测量提供了简单的描述性统计，并比较了它们的分布。
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