A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
python sentiment-analysis scikit-learn seaborn lstm matplotlib mfcc librosa sentiment-analyser kaggle-dataset tess mfcc-algorithm savee crema-d speech-emotion-regonition voice-emotion-recognition voice-sentiment-analysis speech-sentiment-analysis mel-frequency-cepstral-coefficient ravdees
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