Speech Emotion Recognition (SER) is a process of identifying human emotions through audio signals. This project utilizes the RAVDESS dataset to train a CNN-based deep learning model for classifying emotions like: Neutral, Happy, Sad, Angry, Fearful, Disgusted, Surprised. The model extracts audio features and converts them into spectrogram images, which are then used as input to a CNN for classification.
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Data Preprocessing and Exploratory Data Analysis project, CNN model
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