Table 6 Specificity and sensitivity analysis of deep learning models on TESS dataset.
From: Stacked convolutional neural network for emotion recognition using multi feature speech analysis
Sensitivity | neutral | 1 | 1 | 0.9 | 1 | 0.99 | 1 | 1 | 0.99 | 1 | 0.99 | 1 | 1 | 0.92 | 1 | 1 | 1 | 1 | 0.91 | 1 | 0.99 |
happy | 0.99 | 0.99 | 0.86 | 0.99 | 0.71 | 1 | 1 | 0.99 | 0.95 | 0.62 | 0.99 | 1 | 0.97 | 1 | 0.81 | 1 | 1 | 0.88 | 0.98 | 0.77 | |
angry | 1 | 1 | 0.98 | 1 | 0.83 | 1 | 1 | 1 | 1 | 0.68 | 1 | 1 | 0.99 | 1 | 0.8 | 1 | 1 | 0.97 | 1 | 0.86 | |
fearful | 1 | 1 | 0.96 | 1 | 0.82 | 1 | 1 | 1 | 0.99 | 0.88 | 1 | 1 | 0.89 | 0.99 | 0.88 | 1 | 1 | 0.87 | 0.99 | 0.85 | |
disgust | 0.99 | 0.97 | 0.93 | 0.99 | 0.71 | 0.99 | 0.99 | 0.95 | 0.96 | 0.67 | 0.99 | 1 | 0.82 | 1 | 0.67 | 1 | 1 | 0.66 | 0.97 | 0.63 | |
sad | 1 | 1 | 0.98 | 0.99 | 0.89 | 1 | 1 | 1 | 1 | 0.87 | 1 | 1 | 0.99 | 1 | 0.94 | 1 | 1 | 0.98 | 1 | 0.9 | |
surprised | 0.99 | 1 | 0.83 | 0.95 | 0.76 | 1 | 1 | 0.96 | 0.98 | 0.76 | 1 | 1 | 0.91 | 0.97 | 0.77 | 1 | 1 | 0.95 | 0.97 | 0.71 | |
Specificity | neutral | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.98 | 1 | 1 |
happy | 1 | 1 | 0.99 | 0.99 | 0.96 | 1 | 1 | 0.99 | 1 | 0.96 | 1 | 1 | 1 | 1 | 0.94 | 1 | 1 | 1 | 1 | 0.95 | |
angry | 1 | 1 | 1 | 1 | 0.96 | 1 | 1 | 1 | 1 | 0.98 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.99 | 1 | 0.95 | |
fearful | 1 | 1 | 0.98 | 1 | 0.87 | 1 | 1 | 1 | 1 | 0.97 | 1 | 1 | 1 | 1 | 0.98 | 1 | 1 | 0.99 | 1 | 0.97 | |
disgust | 1 | 1 | 0.97 | 0.99 | 0.95 | 1 | 1 | 1 | 1 | 0.93 | 1 | 1 | 0.99 | 1 | 0.96 | 1 | 1 | 0.99 | 1 | 0.96 | |
sad | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 0.99 | |
surprised | 1 | 1 | 0.97 | 1 | 0.94 | 1 | 1 | 0.99 | 0.99 | 0.91 | 1 | 1 | 1 | 0.99 | 0.96 | 1 | 1 | 0.92 | 0.99 | 0.96 | |
Feature Sets | Combined (196) | MFCC (40) | LPC (13) | Mel Spectrogram (128) | Chroma & Others (15) | Combined (196) | MFCC (40) | LPC (13) | Mel Spectrogram (128) | Chroma & Others (15) | Combined (196) | MFCC (40) | LPC (13) | Mel Spectrogram (128) | Chroma & Others (15) | Combined (196) | MFCC (40) | LPC (13) | Mel Spectrogram (128) | Chroma & Others (15) | |
Deep Learning | CNN + LSTM | CNN | LSTM | RNN + LSTM | |||||||||||||||||
Methods | |||||||||||||||||||||
