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[[File:Narw detector.png|thumb|559x559px|'''<small>Predictive model for detecting NARW upcalls</small>''']]

[[File:Narw detector.png|thumb|559x559px|'''<small>Predictive model for detecting NARW upcalls</small>''']]

Supported by the 2020 – 2021 Results Fund, a Proof of Concept (POC) was developed a predictive model for the automated detection of NARW upcalls from acoustic data. The detection problem is formulated as a binary image classification problem where the image is a spectrogram. A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time and is considered an effective method of displaying marine mammal vocalizations.

Supported by the 2020 – 2021 Results Fund, a Proof of Concept (POC) was developed for a predictive model for the automated detection of NARW upcalls from acoustic data. The detection problem is formulated as a binary image classification problem where the image is a spectrogram. A spectrogram is a visual representation of the spectrum of frequencies of a signal as it varies with time and is considered an effective method of displaying marine mammal vocalizations.

The POC is developed using the Open source Ketos toolkit <ref>https://docs.meridian.cs.dal.ca/ketos/</ref>, provided by Dalhousie University, for underwater acoustic analysis. The AI team at DFO has also collaborated with researchers from Dalhousie University to further enhance the accuracy of the predictive model in differentiating between two kinds of whales: Humpback whales and North Atlantic Right whales.  

The POC is developed using the Open source Ketos toolkit <ref>https://docs.meridian.cs.dal.ca/ketos/</ref>, provided by Dalhousie University, for underwater acoustic analysis. The AI team at DFO has also collaborated with researchers from Dalhousie University to further enhance the accuracy of the predictive model in differentiating between two kinds of whales: Humpback whales and North Atlantic Right whales.