This project implements an audio emotion recognition system using a Random Forest Classifier to classify audio files based on their emotional content. The system extracts features from audio files and ...

Feature selection is a crucial step in the development of a system for identifying emotions in speech. How to select high correlation features is an open question. This paper focuses on feature ...

Facial emotion recognition (FER) has been applied to various sectors, including e-learning, marketing, humanoid robot design, HMI/HCI applications, and medicine. The rapid development of intelligent ...