# Arabic Emotional Voice Conversion Using English Pre-Trained StarGANv2-VC-Based Model
## 5 Evaluation
### Automatic Recognition
#### 5.2.4. Discrete Emotion Recognition Results
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c} \hline \hline  & & \multicolumn{4}{c}{**Female**} & \multicolumn{4}{c}{**Male**} & \multicolumn{4}{c}{**MF**} \\ \hline \multirow{4}{*}{**Fomal**} & \multirow{2}{*}{**N**} & **H** & **S** & **A** & & **N** & **H** & **S** & **A** & & **N** & **H** & **S** & **A** \\ \cline{2-16}  & & **N** & 78.2 & 9.2 & 8.9 & 3.8 & **N** & 84.1 & 10 & 4 & 2 & **N** & 81.6 & 9 & 5.8 & 3.6 \\ \cline{2-16}  & **H** & 8.5 & 75.1 & 0.8 & 15.6 & **H** & 9.4 & 80.6 & 1.5 & 8.5 & **H** & 8.1 & 80.5 & 0.5 & 10.8 \\ \cline{2-16}  & **S** & 13.2 & 2.9 & 80.2 & 3.7 & **S** & 12.1 & 1.8 & 85.6 & 0.5 & **S** & 18.3 & 1.9 & 77.8 & 1.9 \\ \cline{2-16}  & **A** & **1** & **9.6** & **0.6** & **88.8** & **A** & **0.3** & **7.3** & **0.6** & **91.7** & **A** & **1** & **6** & **0.7** & **92.3** \\ \cline{2-16}  & **Acc** & \multicolumn{2}{c}{**80.38 \(\pm\) 4.50**} & \multicolumn{4}{c}{**Acc**} & \multicolumn{2}{c}{**85.48 \(\pm\) 3.73**} & \multicolumn{4}{c}{**Acc**} & \multicolumn{2}{c}{**82.52 \(\pm\) 4.83**} \\ \hline \multirow{4}{*}{**Fomal**} & \multirow{2}{*}{**N**} & **N** & **H** & **S** & **A** & & **N** & **H** & **S** & **A** & **N** & **H** & **S** & **A** \\ \cline{2-16}  & & **N** & 65.4 & 3.1 & 24.6 & 6.9 & **N** & 71.2 & 16.4 & 12.4 & 0 & **N** & 63.1 & 16.1 & 14.3 & 6.5 \\ \cline{2-16}  & **H** & 4.7 & 76.8 & 0 & 18.4 & **H** & 19.1 & 72.4 & 5.3 & 3.3 & **H** & 19.8 & 56.8 & 4.5 & 18.9 \\ \cline{2-16}  & **S** & 31.7 & 0.5 & 67.2 & 0.5 & **S** & 7.1 & 8.6 & 83.6 & 0.7 & **S** & 13.4 & 6.4 & 75.3 & 4.8 \\ \cline{2-16}  & **A** & 6.7 & 17.9 & 0 & 75.4 & **A** & 1.2 & 14.6 & 1.2 & 83 & **A** & 9.8 & 17.6 & 4.4 & 68.1 \\ \cline{2-16}  & **Acc** & \multicolumn{2}{c}{**71.41 \(\pm\) 3.21**} & \multicolumn{4}{c}{**Acc**} & \multicolumn{2}{c}{**77.34 \(\pm\) 5.7**} & \multicolumn{4}{c}{Acc} & \multicolumn{2}{c}{**66.17 \(\pm\) 3.72**} & \multicolumn{4}{c}{} \\ \hline \multirow{4}{*}{**Fomal**} & \multirow{2}{*}{**N**} & **N** & **H** & **S** & **A** & **N** & **H** & **S** & **A** & **N** & **H** & **S** & **A** \\ \cline{2-16}  & & **N** & 74 & 9.3 & 12 & 4.7 & **N** & 78.3 & 12.4 & 8.3 & 1 & **N** & 75.5 & 11.8 & 8 & 4.8 \\ \cline{2-16}  & **H** & 5.7 & 77.3 & 0.4 & 16.6 & **H** & 9.1 & 78.9 & 2.8 & 9.1 & **H** & 12.5 & 74.2 & 1.1 & 12.2 \\ \cline{2-16}  & **S** & **1** & 3 & 80 & 3 & **S** & 9.1 & 3.9 & 84.2 & 2.8 & **S** & 13.5 & 3.4 & 78.4 & 4.7 \\ \cline{2-16}  & **A** & 2.8 & 9.7 & 0.5 & 87.1 & **A** & 1 & 9.4 & 1.8 & 87.8 & **A** & 3.3 & 8.1 & 1.1 & 87.5 \\ \cline{2-16}  & **Acc** & \multicolumn{2}{c}{**79.44 \(\pm\) 4.50**} & \multicolumn{4}{c}{**Acc**} & \multicolumn{2}{c}{**82.36 \(\pm\) 3.50**} & \multicolumn{4}{c}{Acc**} & \multicolumn{2}{c}{**78.78 \(\pm\) 3.10**} & \multicolumn{4}{c}{} \\ \hline \multirow{4}{*}{**Fomal**} & \multirow{2}{*}{**N**} & **N** & **H** & **S** & **A** & **N** & **H** & **S** & **A** & **N** & **H** & **S** & **A** \\ \cline{2-16}  & **N** & 55.5 & 10.9 & 16.7 & 16.9 & **N** & 72.7 & 17.8 & 9.4 & 0.2 & **N** & 49.8 & 23.1 & 17.1 & 10 \\ \cline{2-16}  & **H** & 8.7 & 50.2 & 7.9 & 33.2 & **H** & 14.7 & 43.9 & 5.3 & 3.6 & **H** & 19.8 & 41.3 & 9 & 30 \\ \cline{2-16}  & **S** & 25.2 & 4.3 & 67.2 & 3.4 & **S** & 18.4 & 16 & 55.9 & 9.7 & **S** & 16.7 & 9.6 & 56.8 & 16.9 \\ \cline{2-16}  & **A** & 6.8 & 14.6 & 3.2 & 75.4 & **A** & 5.3 & 15.9 & 1.7 & 77.2 & **A** & 8.2 & 9.7 & 3.4 & 78.7 \\ \cline{2-16}  & **Acc** & \multicolumn{2}{c}{**58.16 \(\pm\) 4.34**} & \multicolumn{2}{c}{**Acc**} & \multicolumn{2}{c}{**57.84 \(\pm\) 6.06**} & \multicolumn{2}{c}{Acc**} & \multicolumn{2}{c}{**50.68 \(\pm\) 3.15**} & \multicolumn{2}{c}{} \\ \hline \hline \end{tabular}
\end{table} 
Table 10: The average 10 runs confusion matrices of original, converted, merged, and crossed data for females, males, and males and females. Figure 12: Emotion classification comparison.