In this episode, Audrow Nash interviews Christina Brester, from the Siberian State Aerospace University, about her research on a method to identify emotional state from speech. This method performs speech analysis with a self-adaptive, multi-objective, genetic algorithm for feature selection and uses a neural network to classify those features. In this interview, we’ll discuss exactly what that means, as well as the implications and future of this research.