Application of Poincare Map-Based Description of Vowel Pronunciation Variability for Emotion Assessment in Speech Signal

An objective of the following paper is to examine feasibility of using vowel pronunciation variability as a descriptor of an emotional state of a speaker. Variability is assessed using Poincare Maps, constructed for pitch-synchronized speech segments that correspond to the vowel "a". Recognition phase of the proposed approach involves an application of Hidden Markov Models, which are applied to an analysis of temporally-ordered Poincare Map entries.