# An Empirical Performance Analysis of the Speak Correct Computerized Interface
## 5 Results
### Arabic Regional Accent  
In the Speak Correct system, an assessment method was established. This technique focused on process response and measures the degree of consistency precision. Because of the difficulty of speech procedures and the existence of tunable tolerances and specifications, the assessment of mispronunciation in these kind of assessment processes is critical. The findings show that the Egyptian accent in the middle region (Cairo) has a higher accuracy percentage of acknowledgements than the accent in the northern province (Alexandria). The Speak Correct proposed system recognizes the majority of the phrases pronounced by presenters in this province.  
In fact, the samples of spoken dialect in this province are very efficient in improving the system's accuracy. However, in terms of the provincial accent, the effectiveness varies significantly depending on the location. Table 3 depicts the dissemination of speakers (training as well as testing) for each province.  
It is necessary to acknowledge verbal communication languages in such regions of the world. There are important cultural discrepancies among the two major areas when the Speak Correct characteristics are considered. In Cairo, Egypt, the Speak Correct effectiveness is very significant (English is considered to be an extremely popular language in this province), and it is commonly used in colleges and universities. Alexandria, the second largest city in Egypt (after Cairo), has a high recognition accuracy. In Saudi Arabia, the Rabegh location received the lowest rating.  
Again, for the experimental results of the WER, within substitution, deletion, and insertion, Table 4 shows the results, and Figure 6 and Table 5 represent the WERs for each locality.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multicolumn{1}{c}{**Region/Localities**} & \multicolumn{2}{c}{**Testing**} \\  & **Male** & **Female** \\ \hline Egypt & Cairo & \(10\%\) & \(11\%\) \\  & Alexandria & \(11\%\) & \(12\%\) \\ Saudi Arabia & Jeddah & \(16\%\) & \(17\%\) \\  & Rabegh & \(19\%\) & \(20\%\) \\ \hline \hline \end{tabular}
\end{table}
Table 4: Word Error Rate (WER) relative to different localities.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{1}{c}{**Region/Localities**} & \multicolumn{2}{c}{**Training**} & \multicolumn{2}{c}{**Testing**} \\  & & **Male** & **Female** & **Male** & **Female** \\ \hline Egypt & Cairo & \(17\) & \(17\) & \(8\) & \(8\) \\  & Alexandria & \(18\) & \(18\) & \(9\) & \(9\) \\  & Jeddah & \(10\) & \(10\) & \(3\) & \(3\) \\  & Rabegh & \(15\) & \(15\) & \(5\) & \(5\) \\ \hline \hline \end{tabular}
\end{table}
Table 3: Speaking (for training and testing) by regions.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multicolumn{1}{c}{**Region/Localities**} & \multicolumn{2}{c}{**Testing**} \\  & **Male** & **Female** & **Female** \\ \hline Egypt & Cairo & \(10\%\) & \(11\%\) \\  & Alexandria & \(11\%\) & \(12\%\) \\  & Jeddah & \(16\%\) & \(17\%\) \\  & Rabegh & \(19\%\) & \(20\%\) \\ \hline \hline \end{tabular}
\end{table}
Table 5: Regions and localities for WER.