Do You Mean What You Say? Recognizing Emotions in Spontaneous Speech

Abstract

Emotions when explicitly demonstrated by an actor are easy for a machine to recognize by analyzing their speech. However in case of day to day, naturally spoken spontaneous speech it is not easy for machines to identify the expressed emotion even though emotion of the speaker are embedded in their speech. One of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult to recognize the emotion embedded in their spoken speech. In this paper, based on some of our previous published work (example, Chakraborty et al. in Proceedings of the 20th International Conference KES-2016 96:587–596, 2016 [1], Chakraborty et al. in TENCON 2015—2015 IEEE Region 10 Conference 1–5, 2015 [2], Chakraborty et al. in PACLIC, 2016 [3], Pandharipande and Kopparapu in TENCON 2015—2015 IEEE Region 10 Conference 1–4, 2015 [4], Kopparapu in Non-Linguistic Analysis of Call Center Conversations, 2014 [5], Pandharipande and Kopparapu in ECTI Trans Comput Inf Technol 7(2):146–155, 2013 [6], Chakraborty and Kopparapu in 2016 IEEE International Conference on Multimedia and Expo Workshops, 1–6, 2016 [7]) we identify the challenges in recognizing emotions in spontaneous speech and suggest a framework that can assist in determining the emotions expressed in spontaneous speech.