What is a Random Forest Model?

In Arbimon, the Random Forest Model (RFM) is a type of machine learning model consisting of multiple decision trees. The RFM module is designed for single-species detection. Using a template of the target sound type, the model can be trained to detect the target sound based on the correlation between the input audio and the template. You can read more details about Arbimon’s RFM tool in this publication.