Fig. 11From: Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniquesPerformance of SEC-MLP without data augmentation using spectral feature. ACC = 77.12%, TPR = 57.57%, TNR = 88.90%, PPV = 75.75%, NPV = 77.67%. ACC results are used to construct the confusion matrixBack to article page