New Paper: A machine learning framework to classify Southeast Asian echolocating bats

The publications keep coming! Tigga and Joe are co-authors on “A machine learning framework to classify Southeast Asian echolocating bats” that just came out in Ecological Indicators. This paper has all you can ask for, if what you’re asking for is using machine learning to classify bat calls in Southeast Asia. Field rats take note: “Our framework allows users to rapidly filter acoustic files for common species and isolate files of interest, cutting the total volume of data to be processed by 86%.” Not only a time saver, but this increases the capacity of researchers to use non-invasive sampling in regions without species-specific call records and can detect species that are often missed when employing other sampling methods.

The four call types used in the Borneo bat classifier and representation of bat ensembles in Borneo, their corresponding call types, and species/sonotypes used to train the bat call classifier.

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