Frog vocalization recognition from digital recordings
Description
Automated audio recorders make it easy to gather large amounts of digital audio recordings where frogs may be vocalizing. These recordings are too numerous to make it cost effective to listen to all of them. AI helps us search the recordings for calls of specific species to determine if they were there without us listening to thousands of hours of recordings.
Detailed example
AI outputs a list of vocalizations that it identifies as possibly the frog of interest.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
We are using this method to screen for Cuban treefrogs, which are in invasive species in the southern U.S. This will allow us to increase our early detection and rapid response to detections at sites that were not previously known to have the species.
Controls / human review
ATO: No; PIA: Not published
Data needed
example recordings of frog vocalizations