Initiative #145
Automatic detection of unidentified fish sounds
Listed in the registry Pilot Original language : English
About the initiative
Description of the initiative
This completed project used Random Forests and Convolutional Neural Networks (CNN) algorithms trained on manually detected fish sounds to detect fish sounds collected on a passive acoustic monitoring project. The result is an easy-to-use, open-source software called FishSoundFinder, implemented with the CNN detector.
AI family
- AI capability
- Species Identification and Biological Annotation
Bucket rationale Not translated
Analyse automatisée de signaux acoustiques, imite la capacité de perception auditive.
Lifecycle
-
Ideation
Stage status : Completed
June 1, 2025
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Assessment
Stage status : Completed
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Approved
Stage status : Completed
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Development
Stage status : Completed
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Pilot
Stage status : In progress
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Production
Stage status : Upcoming
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Archived
Stage status : Upcoming
Schedule for this initiative
- Completed
- In progress
- Planned
- Not applicable
- Today
- Ideation
A similar need?
Nobody has come forward yet. If your team faces the same problem, say so: it helps bring initiatives together and share a solution.
Contacts
- Requester
- Smith, Melannie
- Sector contact
- Smith, Melannie
- Subject matter expert
- Winegardner, Amanda
- Smith, Melannie
Data and tools
- Sector
- Ecosystems and Oceans Science
- Region
- National Capital Region
- Could this initiative be shared with the Treasury Board Secretariat?
- Yes
- Submitted on
- June 1, 2025
Primary users
- Departmental employees
Government priorities and declaration
Declared to TBS Recorded as transmitted to TBS; not editable here.
- Declared name of the AI system
- Automated Detection of Unidentified Fish Sounds in Passive Acoustic Data
- TBS registry identifier
- 2526-DFO-MPO-001
- Status declared to TBS
- Pilot
- Sent to TBS on
- October 10, 2025
- Purpose of the system, as declared
- This completed project used Random Forest and Convolutional Neural Network (CNN) algorithms trained on manually identified fish sounds for detection in passive acoustic recordings. The result is FishSoundFinder, an open-source, user-friendly software tool.