Inma Mohino, Maria Goñi, Lorena Álvarez, Cosme Llerena, and Roberto Gil-Pita
Stress/emotion detection, signal processing, speech
The term "stress" is referred to a psychological state, obtained in response to a situation which is accompanied by an emotional reaction, such as, for instance, anxiety, anger, sadness, etc. Emotions are psychophysiological reactions representing modes of adaptation to certain either environmental stimuli or own stimuli. They are those feelings or perceptions of the elements and relations of the reality and the imagination, which are physically expressed by some physiological functions, like, for example, facial reactions, changes in heartbeat or distortions in the paralinguistic aspects of speech. Although both stress and emotional state do not alter the linguistic content, they could affect the paralinguistic contents of speech and this is an important factor in human communication, because it provides more information about the interlocutor than the merely semantic one. This subliminal information of speech is analyzed in this paper. Throughout the present document many features and algorithms are studied, which are combined to obtain an emotion and stress detector with a high degree of reliability.
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