Emotionally Aware Edtech: A Deep Learning Perspective

Speech emotion recognition in affective computing is an area that is growing quickly. It has implications for how people and computers interact, how mental health is diagnosed, and how customer service is handled. To correctly pick up on emotions in real time, deep learning is used in this study. Our model looks at vocal pitch, tone, and cadence along with complicated neural network designs to accurately classify emotions. The method was taught with a variety of emotional expressions. It's strong and can work with a wide range of speakers and settings. Many tests show that the model is more accurate and can process emotions faster than most other ways. Deep learning can make automatic systems smarter about emotions, which can make them more caring and flexible, as this study shows