Fig. 12From: Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniquesPerformance of SEC-MLP with data augmentation using spectral feature. ACC = 89.39%, TPR = 78.38%, TNR = 94.5%, PPV = 86.84%, NPV = 90.42%. ACC results are used to construct the confusion matrixBack to article page