## 6 Experiment
### Experimental Results and Analysis
#### 6.6.2 Analysis of Recognition Accuracy

Table 4: GD-male Recognition Accuracy \(\pm\) Standard Deviations (%). \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Database** & **R\({}_{\text{max}}\)** & **M** & **E** & **Mel** & **IMel** & **Mel + IMel** & **MelSSAE** & **IMelSSAE** & **(Mel + IMel) SSAE** \\ \hline \multirow{8}{*}{EMO-DB} & & 40 & WA & 83.14 \(\pm\) 2.58 & 78.41 \(\pm\) 4.19 & 84.14 \(\pm\) 2.58 & 85.42 \(\pm\) 2.20 & 86.46 \(\pm\) 2.63 & 90.63 \(\pm\) 1.86 \\  & & UA & 80.21 \(\pm\) 2.96 & 74.53 \(\pm\) 5.30 & 80.74 \(\pm\) 2.21 & 87.50 \(\pm\) 2.62 & 85.29 \(\pm\) 3.01 & 89.34 \(\pm\) 1.90 \\  & & 60 & WA & 77.06 \(\pm\) 2.61 & 74.53 \(\pm\) 4.19 & 81.36 \(\pm\) 2.58 & 87.50 \(\pm\) 2.20 & 82.29 \(\pm\) 2.63 & 89.58 \(\pm\) 1.86 \\  & & UA & 75.36 \(\pm\) 3.56 & 72.33 \(\pm\) 4.81 & 80.14 \(\pm\) 2.68 & 86.12 \(\pm\) 2.89 & 83.89 \(\pm\) 2.87 & 88.03 \(\pm\) 1.56 \\  & & 80 & WA & 85.77 \(\pm\) 5.47 & 80.59 \(\pm\) 3.18 & 87.94 \(\pm\) 3.44 & 90.63 \(\pm\) 1.21 & 83.33 \(\pm\) 3.34 & 91.67 \(\pm\) 2.68 \\  & & UA & 84.90 \(\pm\) 3.38 & 79.02 \(\pm\) 3.21 & 81.03 \(\pm\) 4.24 & 86.81 \(\pm\) 1.19 & 81.78 \(\pm\) 2.77 & 87.89 \(\pm\) 2.37 \\  & & 40 & WA & 83.09 \(\pm\) 3.45 & 75.54 \(\pm\) 2.29 & 84.92 \(\pm\) 1.78 & 87.14 \(\pm\) 2.30 & 83.33 \(\pm\) 1.89 & 90.63 \(\pm\) 2.73 \\  & & UA & 81.49 \(\pm\) 3.73 & 74.03 \(\pm\) 3.08 & 83.79 \(\pm\) 1.84 & 84.31 \(\pm\) 2.12 & 82.51 \(\pm\) 1.53 & 89.09 \(\pm\) 2.16 \\  & & 60 & WA & 89.49 \(\pm\) 1.78 & 79.54 \(\pm\) 2.29 & 88.07 \(\pm\) 2.66 & 92.78 \(\pm\) 3.24 & 87.58 \(\pm\) 2.33 & 94.79 \(\pm\) 1.77 \\  & & UA & 85.80 \(\pm\) 1.98 & 74.03 \(\pm\) 3.08 & 84.53 \(\pm\) 2.66 & 91.09 \(\pm\) 2.98 & 86.47 \(\pm\) 2.67 & 93.32 \(\pm\) 1.98 \\  & & 80 & WA & 85.85 \(\pm\) 1.87 & 81.61 \(\pm\) 5.52 & 84.31 \(\pm\) 2.36 & 85.54 \(\pm\) 2.66 & 84.38 \(\pm\) 3.22 & 93.75 \(\pm\) 2.30 \\  & & UA & 83.63 \(\pm\) 2.77 & 79.78 \(\pm\) 4.19 & 83.58 \(\pm\) 2.23 & 86.41 \(\pm\) 3.12 & 83.60 \(\pm\) 3.05 & 92.68 \(\pm\) 2.45 \\  & & 40 & WA & 81.25 \(\pm\) 4.17 & 86.96 \(\pm\) 3.71 & 80.63 \(\pm\) 2.40 & 83.08 \(\pm\) 2.54 & 79.56 \(\pm\) 3.60 & 84.41 \(\pm\) 2.98 \\  & & UA & 79.05 \(\pm\) 4.90 & 65.71 \(\pm\) 3.92 & 78.21 \(\pm\) 2.44 & 82.54 \(\pm\) 2.78 & 78.11 \(\pm\) 3.29 & 83.72 \(\pm\) 2.46 \\  & & 400 & WA & 74.79 \(\pm\) 5.63 & 69.59 \(\pm\) 0.05 & 79.79 \(\pm\) 2.40 & 78.82 \(\pm\) 3.24 & 79.03 \(\pm\) 1.92 & 83.66 \(\pm\) 2.14 \\  & & UA & 73.45 \(\pm\) 5.99 & 65.28 \(\pm\) 0.06 & 77.50 \(\pm\) 2.32 & 77.21 \(\pm\) 2.55 & 78.56 \(\pm\) 2.01 & 82.23 \(\pm\) 2.46 \\  & & 80 & WA & 78.13 \(\pm\) 3.61 & 70.78 \(\pm\) 2.85 & 79.17 \(\pm\) 4.36 & 84.46 \(\pm\) 3.34 & 81.34 \(\pm\) 3.74 & 87.72 \(\pm\) 2.61 \\  & & UA & 75.60 \(\pm\) 4.01 & 74.64 \(\pm\) 2.75 & 76.90 \(\pm\) 4.75 & 83.02 \(\pm\) 3.56 & 80.20 \(\pm\) 2.66 & 86.51 \(\pm\) 2.96 \\  & & 40 & WA & 72.48 \(\pm\) 2.55 & 71.79 \(\pm\) 3.56 & 75.25 \(\pm\) 3.61 & 78.04 \(\pm\) 3.41 & 72.83 \(\pm\) 3.76 & 85.85 \(\pm\) 3.51 \\  & & 40 & WA & 74.17 \(\pm\) 2.61 & 63.45 \(\pm\) 4. Although the experimental standards are different, the experimental results of SI, SD, and GD show the similar trends mentioned above; the results therefore prove the general applicability of this algorithm in this paper. (2) Recognition accuracy of various emotions  
Table 6 presents a comparison between the emotion recognition rate of the Mel feature and that of the IMel feature when = 8000 Hz and M = 60 in the three datasets. Figure 11 is a line chart corresponding to the recognition accuracy shown in Table 6. It can be observed that for high-arousal emotions, such as anger and happiness, the recognition accuracy of the Mel features was higher than that of the IMel features. For anger, the recognition accuracies of the Mel features were 94.83%, 80.17%, and 80.82%, respectively, and those of the IMel features were 88.71%, 71.67%, and 68.79%, respectively. These results indicate that the Mel spectrogram is more suitable for high-arousal emotions than the IMel spectrogram.