Enhancing Emotional And Personality Recognition Through Audio-Visual Integration And Neural Style Transfer

This paper follows a novel approach to enhancing emotional and personality recognition by integrating audio-visual features with neural style transfer methods. Neural style transfer is used to capture distinct speaking styles derived from audio data, and this visual feature combined with the corresponding video clips to provide a more subtle appreciation of emotional states and personality traits. Experimental testing proves this hybrid solution achieves greater accuracy and robustness compared to those methods that solely use one modality while combining the enhancements made by state-of-the-art technology.