What is RFCx Arbimon?
RFCx Arbimon is a web interface for biologist and ecologists to work with audio data collected from the field using an AudioMoth, Swift, SongMeter, Guardian or any other recording device. The RFCx Arbimon web app was designed for ecologists and biologists needing to conduct sophisticated scientific analyses on large volumes of audio data collected from the field. Scientists need a sophisticated and highly flexible analytical tool to be able to slice and dice audio data in countless variations in order to answer specific research questions. This data can then be exported and analyzed further using advanced statistical analyses tools like R, or a similar platform.
From there, biologists and ecologists can formulate conclusions that would guide publications of scientific papers to then inform conservation interventions. In order to accomplish this, our platform offers the following features to perform several kinds of analyses: pattern matching (object recognition using a cross correlation analysis to identify presence of similar patterns in other audio files), soundscape analysis, and the Random Forest model analysis (which uses AI). RFCx Arbimon is being used by scientists to support conservation/biodiversity projects all over the world. Check out our additional support articles to learn how to get set up in Arbimon!
The screenshot above shows a soundscape analysis covering 24 hours of recordings. Soundscape analyses are used to observe various frequencies and intensities of acoustic activity in an ecosystem.