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Found 8 papers, 2 papers with code
Decoupling Speaker-Independent Emotions for Voice Conversion Via Source-Filter Networks
We note that the decoupling of emotional features from other speech information (such as speaker, content, etc.)
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition
Automatic emotion recognition (AER) based on enriched multimodal inputs, including text, speech, and visual clues, is crucial in the development of emotionally intelligent machines.
3D Head-Position Prediction in First-Person View by Considering Head Pose for Human-Robot Eye Contact
For a humanoid robot to make eye contact and initiate communication with a person, it is necessary to estimate the person's head position.
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as traditional topic assignment tasks.
Introduction method for argumentative dialogue using paired question-answering interchange about personality
The results suggest that inserting the question-answer dialogue enhances familiarity and naturalness.
Show, Attend and Interact: Perceivable Human-Robot Social Interaction through Neural Attention Q-Network
For a safe, natural and effective human-robot social interaction, it is essential to develop a system that allows a robot to demonstrate the perceivable responsive behaviors to complex human behaviors.
Robot gains Social Intelligence through Multimodal Deep Reinforcement Learning
For robots to coexist with humans in a social world like ours, it is crucial that they possess human-like social interaction skills.
