AN INTELLIGENT ROBOT FOR REAL-TIME VOICE EMOTION DETECTION AND EXPRESSIVE RESPONSE
DOI:
https://doi.org/10.7492/cjxqjs54Keywords:
Voice Emotion Detection, Speech Emotion Recognition (SER), Human–Robot Interaction, Real-Time Processing, Expressive Robotics, Artificial Intelligence, Intelligent systems, Emotion ClassificationAbstract
This studies on voice-based human–robot interaction highlight the importance of integrating emotion recognition into intelligent systems to improve user
experience. Existing voice assistants primarily focus on speech recognition and command execution, but they lack the ability to understand the emotional state of
the user, resulting in limited and mechanical responses. To address this limitation, this project proposes an intelligent robot for real-time voice emotion detection
and expressive response. The system utilizes artificial intelligence techniques such as speech processing and emotion classification to identify emotions like
sadness, happiness, and anger from the user’s voice input. Based on the detected emotion, the robot generates appropriate verbal responses along with expressive
actions, such as eye movements, to create a more natural and interactive communication Compared to existing systems, the proposed model enhances emotional
interaction accuracy, achieving an improved performance level of approximately 85–90% in recognizing user emotions. This results in a more personalized and
engaging user experience. In future, the system can be further enhanced by integrating facial emotion recognition and advanced deep learning models to improve
accuracy and interaction quality .
