This research focuses on the recognition and expression of emotions by robots, aiming to increase their presence in schools, factories, and homes. The study specifically attempted to replicate gestures associated…
Continue readingThis paper provides a comprehensive survey on the methods used for training and serving foundation models, which have become vital in areas like natural language processing and visual recognition. The…
Continue readingThe article introduces DSNet, a Disentangled Siamese Network with neutral calibration for speech emotion recognition (SER). DSNet aims to address the challenges in SER, such as the unconscious encoding of…
Continue readingThe research focuses on predicting interpersonal affect in human-robot interactions. The study involved 30 participant dyads who rated their perception of the other interactant after a short interaction using the…
Continue readingThe researchers developed a generative music AI framework, Video2Music, capable of generating music to match a provided video. They created a unique collection of music videos, from which they extracted…
Continue readingThis paper presents a novel AI framework, Video2Music, capable of generating music that matches the emotion of a given video. The researchers first collected a unique set of music videos,…
Continue readingThe article discusses a survey conducted to understand user expectations and preferences for AI conversational agents that can perceive, respond to, and simulate emotions. It was found that users preferred…
Continue readingThis academic article discusses emotion estimation in human-robot interaction (HRI). The authors present a new dataset, HRI-A VC, obtained from a human-robot collaborative task. The data set is unique because…
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