HearTheSpecies: Using computer audition to understand the drivers of soundscape composition, and to predict parasitation rates based on vocalisations of bird species

HearTheSpecies：使用计算机试听来了解音景构成的驱动因素，并根据鸟类的发声来预测寄生率

• 批准号: 512414116
• 负责人: Professor Dr. Michael Scherer-Lorenzen
• 金额: --
• 依托单位: Abteilung Geobotanik
• 依托单位国家: 德国
• 项目类别: Infrastructure Priority Programmes
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/512414116?language=en
• 关键词: HearTheSpecies; Using; computer; audition; understand

HearTheSpecies is an interdisciplinary project of the Chair of Embedded Intelligence for Health Care and Wellbeing (EIHW) at the University of Augsburg and the Chair of Geobotany at the University of Freiburg (ALU-FR). The intensification of land use is one of the main causes of the current loss of biodiversity. In order to better understand and monitor the links between land use intensity and biodiversity loss, HearTheSpecies aims to harness the potential of a hitherto under-researched data pool: Audio. The impact of land use on the soundscape of a landscape manifests itself in different aspects and scales. Species loss of vocalising animal communities or changes in landscape structure and vegetation density alter the composition of biophony (sounds of wildlife), geophony (sounds of abiotic nature) and anthropophony (sounds caused by humans). On a much finer scale, land use can even affect the vocal characteristics of individual animals by influencing fitness and parasitisation rates. The established land use gradient within biodiversity exploratories provides an excellent research platform to investigate these relationships and thus establish AI-based autonomous acoustic monitoring workflows. Specifically, as part of HearTheSpecies, we aim to develop AI-based automatic diarisation and separation tools that enable coarse separation of biophony, anthropophony and geophony from interwoven soundscape recordings, and fine-grained detection and separation of species and specific abiotic sounds. To do this, we will annotate existing data from previous projects that collected audio recordings within the Biodiversity Exploratories to enable the training of AI algorithms, and collect new audio data in the joint multi-site experiments REX and FOX. In a next step, we will use these separated sounds to model the effects of local and regional land use intensity, landscape configuration and vegetation structure on the composition of the soundscape and individual species of the acoustic community, and predict parasitisation rates in birds based on their song characteristics.

HearTheSpecies是奥格斯堡大学嵌入式智能医疗保健和福祉（EIHW）主席和弗赖堡大学地理植物学主席的跨学科项目。土地使用的集约化是目前生物多样性丧失的主要原因之一。为了更好地了解和监测土地利用强度和生物多样性丧失之间的联系，HearTheSpecies旨在利用迄今为止研究不足的数据库的潜力：音频。土地利用对景观声景的影响表现在不同的方面和尺度上。发声动物群落的物种损失或景观结构和植被密度的变化改变了生物音（野生动物的声音），生物音（非生物性质的声音）和生物音（人类引起的声音）的组成。在更精细的尺度上，土地利用甚至可以通过影响适应度和寄生率来影响个体动物的声音特征。在生物多样性勘探站内建立的土地利用梯度提供了一个很好的研究平台，以调查这些关系，从而建立基于人工智能的自主声学监测工作流程。具体而言，作为HearTheSpecies的一部分，我们的目标是开发基于人工智能的自动diarisation和分离工具，使生物音，生物音和生物音从交织的音景记录中粗略分离，以及物种和特定非生物声音的细粒度检测和分离。为此，我们将对以前在生物多样性探索中心收集音频记录的项目中的现有数据进行注释，以支持人工智能算法的训练，并在雷克斯和FOX联合多地点实验中收集新的音频数据。在下一步中，我们将使用这些分离的声音来模拟当地和区域土地利用强度，景观配置和植被结构对声音景观和声学群落的个体物种组成的影响，并根据鸟类的歌声特征预测鸟类的寄生率。