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Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.
The notebook contents implementation of image classification using different CNN models: self-written & pretrained, using data Intel Image Classification.