Enhancing Human-Machine Interaction: Real-Time Emotion Recognition through Speech Analysis
Enhancing Human-Machine Interaction: Real-Time Emotion Recognition through Speech Analysis DOI: https://doi.org/10.30564/jcsr.v5i3.5768 Received: 7 June 2023 | Revised: 7 July 2023 | Accepted: 10 July 2023 | Published Online: 21 July 2023 Abstract Humans, as intricate beings driven by a multitude of emotions, possess a remarkable ability to decipher and respond to socio-affective cues. However, many individuals and machines struggle to interpret such nuanced signals, including variations in tone of voice. This paper explores the potential of intelligent technologies to bridge this gap and improve the quality of conversations. In particular, the authors propose a real-time processing method that captures and evaluates emotions in speech, utilizing a terminal device like the Raspberry Pi computer. Furthermore, the authors provide an overview of the current research landscape surrounding speech emotional recognition and delve into our methodology, which involves analyzing a...