Researchers have demonstrated an improved method for audio analysis machines to process our noisy world. Their approach hinges on the combination of scalograms and spectrograms—the visual representations of audio—as well as convolutional neural networks (CNNs), the learning tool machines use to better analyze visual images. In this case, the visual images are used to analyze audio to better identify and classify sound.