Sistema de reconocimiento de emociones de audio basado en ia para Entrevistas a partir de experiencias de realidad virtual stem

Abstract

Speech Emotion Recognition (SER) has increasingly positioned itself as an important topic within affective computing, mainly because of its potential to improve human–computer interaction in areas such as education [10, 12], healthcare [14, 15], virtual reality (VR) [11], and socially assistive technologies [16]. By examining vocal elements like intonation, prosodic patterns, speech rate, and other acoustic variations, SER systems can estimate a speaker’s emotional state automatically [10, 14]. This opens the door to more adaptive systems and richer user experiences.