arXiv:2605.21143v1 Announce Type: cross Abstract: A soundscape is composed of three types of sound: biophony (sounds made by animals), geophony (natural abiotic sounds) and anthropophony (sounds made by humans). A key research question in the field of soundscape ecology is how these components interact with each other, specifically how biophony responds to geophony and anthropophony. Nevertheless, as of today, there are not many analytical instruments that enable the distinct quantification of these elements. Recent machine learning (ML) approaches aim to support automated analysis but often r
The proliferation of machine learning techniques and increased computational power makes advanced ecological acoustic analysis newly feasible.
Accurate, automated soundscape analysis provides granular environmental data critical for conservation efforts and understanding ecological health.
This model represents a step towards more reliable and scalable methods for distinguishing biophony, geophony, and anthropophony within soundscapes.
- · Ecologists
- · Conservation organizations
- · Environmental monitoring companies
- · Manual acoustic analysis methods
Improved understanding of human impact on natural sound environments.
Better-informed policy decisions regarding environmental protection and urban planning.
Potential for early warning systems for ecological distress or biodiversity loss based on soundscape changes.
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