My master's thesis at Columbia University explores the intersection of speech language processing and journalism: How can speech or audio analysis be used to further a written piece?
In order to partly answer this question, I utilized pyAudioAnalysis to build a classifier that would categorize short utterances into one of five emotional categories: anger, disgust, fear, happiness, and sadness.
The training data that I used for classifier came from the CREMA-D.