GitHub topics: tess-dataset
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.
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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
Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1
