The rise of passive acoustic monitoring and the rapid growth in large audio datasets is
driving the development of analysis methods that allow ecological inferences to be drawn …

Highly sensitive, source-tracking acoustic sensing is essential for effective and natural
human-machine interaction based on voice. It is a known challenge to omnidirectionally …

Wind turbine development is growing exponentially and faster than other sources of
renewable energy worldwide. While multi-turbine facilities have small physical footprint, they …

Recent advances in bioacoustics combined with acoustic individual identification (AIID)
could open frontiers for ecological and evolutionary research because traditional methods of …

The efficient analyses of sound recordings obtained through passive acoustic monitoring
(PAM) might be challenging owing to the vast amount of data collected using such …

Passive acoustic recorders have emerged as powerful tools for ecological monitoring.
However, effective monitoring is not simply an act of recording sounds. To have meaning for …

To protect tropical forest biodiversity, we need to be able to detect it reliably, cheaply, and at
scale. Automated detection of sound producing animals from passively recorded …

Autonomous recording units now facilitate the large collection of audio recordings. However,
the analysis of large amounts of acoustic data remains a challenge. The time required for …

Citizen science is an approach that has become increasingly popular in recent years.
Despite this growing popularity, there still is widespread scepticism in the academic world …

Passive acoustic monitoring (PAM)–an approach that uses autonomous acoustic recording
units (ARUs)–can provide insights into the behavior of cryptic or endangered species that …