Speech Emotion Recognitiong
As part of my Deep Learning course, this project explores the use of convolutional and recurrent neural networks for Speech Emotion Recognition (SER). Using the RAVDESS and TESS datasets, we train models to classify emotions from audio signals, aiming to improve human-computer interaction, mental health applications, and AI-driven affective computing.