生物声学的蛇佬腔:Python中的自动声学分析

IF 1.5 4区 生物学 Q2 ZOOLOGY
Yannick Jadoul, Bart de Boer, Andrea Ravignani
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引用次数: 0

摘要

生物声学越来越依赖于大型数据集和计算方法。批量处理大量数据的需求以及对算法处理的日益关注需要软件工具。为了最佳地协助生物声学家的工作流程,软件工具需要尽可能简单有效。五年前,Python包Parselmouth发布,提供了对Praat软件中所有功能的简单和直观的访问。尽管Praat主要是为语音和语音处理设计的,但许多生物声学研究都使用了其先进的声学算法。在此,我们评估了Parselmouth的现有使用情况,并详细讨论了几个使用该软件库的研究。我们认为蛇佬腔在生物声学研究中有更多的应用潜力,并建议在蛇佬腔的帮助下追求未来的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parselmouth for bioacoustics: automated acoustic analysis in Python
Bioacoustics increasingly relies on large datasets and computational methods. The need to batch-process large amounts of data and the increased focus on algorithmic processing require software tools. To optimally assist in a bioacoustician’s workflow, software tools need to be as simple and effective as possible. Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. Whereas Praat is principally designed for phonetics and speech processing, plenty of bioacoustics studies have used its advanced acoustic algorithms. Here, we evaluate existing usage of Parselmouth and discuss in detail several studies which used the software library. We argue that Parselmouth has the potential to be used even more in bioacoustics research, and suggest future directions to be pursued with the help of Parselmouth.
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来源期刊
CiteScore
4.50
自引率
0.00%
发文量
25
审稿时长
>12 weeks
期刊介绍: Bioacoustics primarily publishes high-quality original research papers and reviews on sound communication in birds, mammals, amphibians, reptiles, fish, insects and other invertebrates, including the following topics : -Communication and related behaviour- Sound production- Hearing- Ontogeny and learning- Bioacoustics in taxonomy and systematics- Impacts of noise- Bioacoustics in environmental monitoring- Identification techniques and applications- Recording and analysis- Equipment and techniques- Ultrasound and infrasound- Underwater sound- Bioacoustical sound structures, patterns, variation and repertoires
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