ACTA THERIOLOGICA SINICA ›› 2025, Vol. 45 ›› Issue (6): 784-796.DOI: 10.16829/j.slxb.151036

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Advancements and prospects of software for processing and analyzing terrestrial mammal sound data

Yongqiao HUANG1, Chengyun ZHANG1, Zixin ZHANG1, Zezhou HAO2()   

  1. 1.School of Electronic and Communication Engineering, Guangzhou University, Guangzhou 510006, China
    2.Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China
  • Received:2024-12-06 Accepted:2025-04-21 Online:2025-11-30 Published:2025-12-03
  • Contact: Zezhou HAO

陆生哺乳动物声音数据处理分析软件进展与展望

黄泳桥1, 张承云1, 张梓欣1, 郝泽周2()   

  1. 1.广州大学电子与通信工程学院,广州 510006
    2.中国林业科学研究院热带林业研究所,广州 510520
  • 通讯作者: 郝泽周
  • 作者简介:黄泳桥 (1996- ),女,硕士研究生,主要从事声学分析处理研究.
  • 基金资助:
    国家自然科学基金(32171520);国家自然科学基金(32201338)

Abstract:

Terrestrial mammal vocalization data processing and analysis software is an essential tool for ecological researchers, enabling automated and efficient handling and analysis of bioacoustic recordings. These tools are vital for delving into the intricate details of animal vocalizations and providing foundational support for ecoacoustic and animal vocalization studies. The rapid advancement of passive acoustic monitoring technology and artificial intelligence has led to a significant increase in the number and variety of vocalization analysis software. Recent developments have seen substantial progress in noise reduction, acoustic indices, data annotation, species identification, and feature extraction. These softwares play a crucial role in archiving bioacoustic data, ensuring the preservation and accessibility of valuable ecological information for long-term monitoring and research purposes. This paper systematically reviews relevant literature and open-source software platforms, outlining the workflow for processing and analyzing terrestrial mammal vocalization data. It aims to discuss the current state of vocalization analysis software and its applications in bioacoustic research, and provides an outlook on the future development and localization of AI-assisted bioacoustic software to enhance analysis efficiency and broaden its applicability.

Key words: Passive acoustic monitoring, Computer software, Artificial intelligence, Species recognition, Soundscape classification, Acoustic indices

摘要:

陆生哺乳动物声音数据处理分析软件是专用于辅助生态学研究者自动化、高效处理和分析生物声学录音的有效工具,是挖掘动物声音深度信息的重要对象,为生态和动物声音分析提供基础工具支持。随着被动声学监测技术和人工智能的快速发展,动物声音分析处理软件的数量和种类显著增加,在声音降噪、声学指数、数据标注、动物识别和特征提取等方面实现较大的进展。本文系统检索相关文献和开源软件平台,阐述了陆生哺乳动物声音数据处理分析的流程,讨论了陆生哺乳动物声音分析软件的现状及其在生态声学研究中的应用,并对动物声学的国产化和人工智能辅助软件的开发与未来研究进行了展望。

关键词: 被动声学监测, 计算机软件, 人工智能, 物种识别, 声场景分类, 声学指数

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