Soundscape ecology is a promising area that studies landscape patterns based on their
acoustic composition. It focuses on the distribution of biotic and abiotic sounds at different …

The past few years have seen a surge of interest in using machine learning (ML) methods
for studying the behavior of nonhuman animals (hereafter “animals”). A topic that has …

Recruitment of coral larvae on reefs is crucial for individual survival and ecosystem integrity
alike. Coral larvae can detect and respond to a wide range of biotic and abiotic cues …

Real-world sound signals exhibit various aspects of grouping and profiling behaviors, such
as being recorded from identical sources, having similar environmental settings, or …

Extreme weather events are increasing in frequency and magnitude. Consequently, it is
important to understand their effects and remediation. Resilience reflects the ability of an …

Using passive acoustic methods for biodiversity conservation and effective ecosystem
monitoring is hindered by laborious, human-mediated processes of accurately identifying …

Passive acoustic monitoring can be used to assess the presence of vocal species. Automatic
estimation of such information is critical for allowing diversity monitoring over long-time …

We present the quantitative characterization of Grande Island's off-reef acoustic environment
within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal …

In recent years, ecological acoustic assessment based on Passive Acoustic Monitoring
technology has gained widespread attention as a non-invasive method, providing scientific …

Machine learning has the potential to revolutionize passive acoustic monitoring (PAM) for
ecological assessments. However, high annotation and compute costs limit the field's …