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The Effect of Age, Gender, and Arousal Level on Categorizing Human Affective States

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Emotion and Information Processing

Abstract

Emotion is a complex state of human beings that depicts the physical, physiological, or mental condition of a person. The study of emotion can facilitate appropriate treatment involving mental disorders in psychiatry. This motivates the author to investigate different human affective states using voice samples based on age, arousal-level, and subsidiary cues. In this process, it analyzes and compares several state-of-art feature extraction techniques that describe the human affective states effectively. Extensive simulation has been carried out considering both the positive and negative emotional states using a few efficient features to characterize and sub-group the intended states based on several efficient speech prosodies.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

    Hemanta Kumar Palo

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  1. Hemanta Kumar Palo
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Correspondence to Hemanta Kumar Palo .

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Editors and Affiliations

  1. Department of Computer Science & Engineering, ICFAI Foundation for Higher Education, Hyderabad, India

    Sachi Nandan Mohanty

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Palo, H.K. (2020). The Effect of Age, Gender, and Arousal Level on Categorizing Human Affective States. In: Mohanty, S.N. (eds) Emotion and Information Processing. Springer, Cham. https://doi.org/10.1007/978-3-030-48849-9_7

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