Here we prove the theoretical limit of a method implemented in my paper: Voice Response-based Emotion Intensity Classification for Assistive Robots
An important assumption we made here is that each audio segment were independent and identically distributed (i.i.d), meaning that,
1) All four emotion intensity each follow a distinct probability distribution and an audio segment belongs to only one of any probability distribution (Identical Criteria)
2) Each audio segment does not influence the other (Independent Criteria)

I have discussed the paper titled "Towards More In-Depth Detection of Political Framing" authored by Qi Yu from the University of Konstanz, Germany. Below are the presentation slides from this reading circle session.