/EkmanDiscreteEmotionClassifier

CNN that analyzes Mel Frequency Cepstral Coefficients (MFCCs) from 4048 audio clips from the RAVDESS and TESS datasets to classify each audio clip according to seven Ekman emotions. Mean accuracy of 87.3%.

Primary LanguageJupyter NotebookMIT LicenseMIT

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