A computational lens into how music characterizes genre in film. by Benjamin Ma, Timothy Greer, Dillon Knox, Shrikanth Narayanan

“…We construct supervised neural network models with various pooling mechanisms to predict a film's genre from its soundtrack. We use these models to compare handcrafted music information retrieval (MIR) features against VGGish audio embedding features, finding similar performance with the top-performing architectures. …”
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