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tess-dataset

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souradeepdutta / Speech-Emotion-Recognition-with-CNN-LSTM-CLSTM

his is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. The project uses four datasets: CREMAD, RAVDESS, SAVEE, and TESS. The model achieves an accuracy of 96% by combining CNN, LSTM, and CLSTM architectures, along with data augmentation techniques and feature extraction methods.

machine-learning deep-learning cnn lstm human-computer-interaction convolutional-lstm clstm speech-emotion-recognition ravdess-dataset speech-emotion-classification tess-dataset savee-dataset crema-d-dataset

Updated Nov 22, 2024
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yhfie / emotion-recognition-audio-streamlit

My team's Machine Learning final group project about emotion classification web app to help newbie actors to act based on given scripts and emotions

emotion-recognition ravdess-dataset audio-machine-learning tess-dataset

Updated Jul 15, 2024
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