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We present a modification of VisionTransformer which detects and classifies animal communication into an annotated format. We give a visualization tool to create estimates for animal movement patterns and a platform for experts to assign behavioral labels to time periods. As a use case example, we show experiments training a factored Hidden Markov Model to discover patterns in the animal communication, both across the entire dataset of communication, and also split across different dominant behavior patterns. 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