  Modeling media memorability has been a consistent challenge in the field of
machine learning. The Predicting Media Memorability task in MediaEval2020 is
the latest benchmark among similar challenges addressing this topic. Building
upon techniques developed in previous iterations of the challenge, we developed
ensemble methods with the use of extracted video, image, text, and audio
features. Critically, in this work we introduce and demonstrate the efficacy
and high generalizability of extracted audio embeddings as a feature for the
task of predicting media memorability.
