In natural ecosystems, soundscapes are made up of animal sounds, environmental noises, and human activity. Because different animals vocalize at different times and frequencies, researchers can study audio recordings to understand local biodiversity. Discriminative machine learning is often used to analyze how biodiversity changes over time and across regions. However, in ecosystems with many species and complex sounds, it is still difficult to accurately identify species and measure biodiversity, which limits the wider use of soundscape analysis in ecological monitoring.
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