Emotional voice analysis

Rosalie Temme

Chapter 27 in Elgar Concise Encyclopedia of Neuroscience and Management, 2026, pp 93-96 from Edward Elgar Publishing

Abstract: Emotional voice analysis (EVA) detects human emotions by investigating the acoustic parameters in one's voice. EVA uses AI-driven tools and historical databases to analyze features like fundamental frequency, jitter and shimmer, loudness, speech rate and HNR (harmonic to voice ratio). Classifying these features through emotion models allows emotion recognition in different contexts, such as in clinical, corporate, and marketing. Despite its advantages, EVA raises challenges regarding ethical implications and possible data biases. The analysis technique will enhance AI's human-like communication and give more in-depth knowledge about the way emotions are conveyed through voice in the near future.

Keywords: Emotional voice analysis; Acoustic parameters; Emotion recognition; Artificial intelligence; Voice databases; Neuromarketing (search for similar items in EconPapers)
Date: 2026
ISBN: 9781035332885
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