 the visualization and sonification of neural networks <span class="citation" data-cites="pmlr-v123-herrmann20a">(Herrmann 2020)</span>. In contrast, Herrmann uses a network previously trained on sound to sonify the features that activate a selected layer yielding impressive results. His research further proves that while lower layers focalize on input localities, higher ones produce more upper-level sonic activity, e.g., rhythmic or harmonic patterns. In this sense, the results obtained from sonifying laye