Abstract
Affective computing aims to create systems capable of recognizing, processing, and si-mulating human emotions to enhance hu-man-computer interaction. Speech emo-tion recognition (SER) is a highly effective and non-invasive technique for assessing a user’s emotions by analyzing physiological variables. However, despite its widespread use in end-user perception identification, few applications have been developed in the field of forensic analysis. To address this gap, this research proposes a new fo-rensic emotion analysis software system, FOREMAN, based on the emotional study of the voice. The system was developed using the Iterative Research Pattern. FOREMANdetermines the fluctuation of emotions in an audio file, as well as the percentage and spatial distribution of emotions present in its segments, using clustering methods. The system’s effectiveness is demonstra-ted by its application to an audio file taken from a Colombian Special Jurisdiction for Peace (JEP) hearing
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