automated sound detection

Understanding the Band-Limited Energy Detector

An alternative to manually browsing through large datasets is to use automatic detection. Detection is the process of finding specific sounds of interest within recordings. Often, the signals of interest are short in duration compared to the overall recording. Detection can be a useful tool when compared to the alternative process of manually browsing days of recordings in order to find small samples of interesting sounds.

Theoretical concerns involving the use of detectors including statistical tradeoffs associated with detection. This information may be helpful in configuring the optimal settings for a detector.

Raven's new Learning Detector uses TensorFlow machine learning technology to automatically detect and classify sounds.

This document describes the requirements of metadata and TensorFlow model format for Raven Pro to integrate a TensorFlow machine learning model.

Automated birdsong detect: complete instructions