Using Oliver API for emotion-aware movie content characterization

This paper demonstrates the utilization of Oliver ¹¹ https://behavioralsignals.com/oliver/, the speech emotion recognition (SER) API created by Behavioral Signals, in the context of a movie content visualization application. Oliver API provides an emotion recognition as-a-service solution that can be accessed via a Web API. In this work, we demonstrate how one can send sound recordings from famous movies, retrieve respective emotional descriptors and use simple aggregations on these descriptors to visualize movie content. We have compiled a dataset of 60 movies, categorized over 8 directors. The classification examples included in this paper indicate the ability of simple emotion aggregations to discriminate between movie directors. In order for others to also experiment with the output of both the API's Emotional and Automatic Speech Recognition, the responses are provided as JSON files in this link: https://tinyurl.com/yxeqvvy2.