A Critical Study of the relation of Emotion and Stress from the Suprasegmental Features of an Assamese Emotional Spontaneous Speech

the present study is an attempt to explore the real-time applications of suprasegmental (prosodic) features in psychological intervention. The main purpose of this research is to explore different emerging speech analyzing tool for assessing stress. Earlier research work on medical science has shown that speech features can be used as an indicator of stress severity including anxiety disorders, depression, chronic pain, heart disease, asthma, autoimmune diseases, and neurodegenerative disorders. The research work is carried out on simulated controlled Assamese speech rather than natural conversation. It is investigated and observed from the speech signal that the prosodic features are the best indicators for accessing stress in therapeutic intervention to understand the mental state of a speaker. The variation in the supra-segmental speech features pitch, duration, and energy are computed from the emotional utterance to study the psychological condition of the speaker. These parameters are further extracted separately from different levels such as entire utterances, words, and syllables. This analytical non-invasive study is a small contribution in the area of speech processing in medical science.