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This is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. Trained on CREMAD, RAVDESS, SAVEE, and TESS datasets using CNN, LSTM, and CLSTM architectures.
TESS speech emotion recognition with log-mel CNNs, speaker-independent train (OAF) / test (YAF), SpecAugment-style augmentation, Grad-CAM explainability, and a small Whisper+TF‑IDF text baseline showing emotion isn’t in transcripts alone.