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automated sound detection
Band-Limited Energy Detector (BLED) Theory
Understanding the Band-Limited Energy Detector
Detector Documentation
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.
Detector Theory
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.
Machine Learning Detector – Quick Start Guide
Raven's new Learning Detector uses TensorFlow machine learning technology to automatically detect and classify sounds.
Machine Learning Detector – Adding New TensorFlow Models
This document describes the requirements of metadata and TensorFlow model format for Raven Pro to integrate a TensorFlow machine learning model.
Acoustic analysis with BirdNET and (almost) no coding: practical instructions
Automated birdsong detect: complete instructions
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