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In the era of artificial intelligence (AI), strong computer vision dominates many research efforts in academic labs, tech giants, and startups. We strive to enhance object and image recognition algorithms so that AI systems can accurately recognize people and objects in images and videos, and in more advanced stages, understand what is going on in a scene. Currently, even state-of-the-art object and image recognition algorithms struggle to perfect this--something that comes so effortlessly to humans. Perhaps the problem lies in the way that machines learn to recognize images. What if another type of sensory data (audio in this case) were incorporated into machine learning to enhance its recognition rate?