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Bridging the gap between AI and human emotion: a multimodal recognition system
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Journal Article
Bridging the gap between AI and human emotion: a multimodal recognition system
2024
Overview
This study introduces a novel system that integrates voice and facial recognition technologies to enhance human-computer interaction by accurately interpreting and responding to user emotions. Unlike conventional approaches that analyze either voice or facial expressions in isolation, this system combines both modalities, o ering a more comprehensive understanding of emotional states. By evaluating facial expressions, vocal tones, and contextual conversation history, the system generates personalized, context-aware responses, fostering more natural and empathetic AI interactions. This advancement significantly improves user engagement and satisfaction, paving the way for emotionally intelligent AI applications across diverse fields.
Publisher
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
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