1. Classifying acoustic units is often a key step in studying repertoires and sequence structure in animal communication. Manual classification by eye and ear remains the primary method, but new tools and techniques are urgently needed to expedite the process for large, diverse datasets.
2. Here we introduce Koe, an application for classifying and analysing animal vocalizations. Koe offers bulk‐labelling of units via interactive ordination plots and unit tables, as well as visualization and playback, segmentation, measurement, data filtering/exporting and new tools for analysing repertoire and sequence structure – in an integrated environment.
3. We demonstrate Koe with a real‐world case study of New Zealand bellbird Anthornis melanura songs from an archipelago metapopulation. Having classified 21,500 units in Koe, we compare repertoires and sequence structure between sites and sexes.
4. Koe is web‐based (koe.io.ac.nz.) and easy to use, making it ideal for collaboration, education and citizen science. By enabling large‐scale, high‐resolution classification and analysis of animal vocalizations, Koe expands the possibilities for bioacoustics research.

中文翻译：

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Koe：基于Web的软件，可对动物发音中的声学单位进行分类并分析序列结构

1. 对声学单元进行分类通常是研究动物交流中的库和序列结构的关键步骤。用肉眼和耳朵进行人工分类仍然是主要方法，但是迫切需要新的工具和技术来加快大型，多样化数据集的处理过程。
2. 在这里，我们介绍Koe，这是一种用于对动物发声进行分类和分析的应用程序。Koe通过交互式排序图和单位表以及在集成环境中的可视化和回放，分段，测量，数据过滤/导出以及用于分析库和序列结构的新工具，为单位提供批量标签。
3. 我们通过对来自群岛多元种群的新西兰风鸟Anthornis melanura歌曲的真实案例研究来证明Koe。在Koe中已分类了21,500个单位，我们比较了地点和性别之间的曲目和序列结构。
4. Koe基于Web（koe.io.ac.nz.）且易于使用，使其成为协作，教育和公民科学的理想之选。通过对动物发声进行大规模，高分辨率的分类和分析，Koe扩展了生物声学研究的可能性。