# Advancing Spanish Speech Emotion Recognition: A Comprehensive Benchmark of Pre-Trained Models
## 4 Results  
### Layer-Wise Evaluation Results  
Table 4 presents a summary of the performance results of the PTMs evaluated on each of the databases. This table shows the best score achieved (accuracy, F1-score, and UAR) by each classifier employed, where the subscript indicates the hidden layer corresponding to the obtained score. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**PTM**} & \multirow{2}{*}{**Database**} & \multicolumn{3}{c}{**KNN**} & \multicolumn{3}{c}{**MLP**} & \multicolumn{3}{c}{**SVM**} \\ \cline{3-10}  & & **Accuracy** & **F1** & **UAR** & **Accuracy** & **F1** & **UAR** & **Accuracy** & **F1** & **UAR** \\ \hline \multirow{6}{*}{HuBERT-L} & EmoFilm\({}_{ES}\) & 69.44\({}_{8}\) & 67.76\({}_{8}\) & 65.64\({}_{8}\) & 79.17\({}_{5}\) & 78.43\({}_{9}\) & 76.53\({}_{5}\) & **84.72\({}_{9}\)** & **84.33\({}_{9}\)** & **82.27\({}_{9}\)** \\  & EM-SpDB & 66.33\({}_{7}\) & 64.87\({}_{7}\) & 60.91\({}_{3}\) & **86.78\({}_{5}\)** & **86.75\({}_{5}\)** & **85.2\({}_{6}\)** & 86.03\({}_{5}\) & 85.93\({}_{5}\) & 84.3\({}_{3}\) \\  & EmoWisconsin & 54.9\({}_{12}\) & 48.83\({}_{12}\) & 27.17\({}_{15}\) & 56.13\({}_{10}\) & **54.37\({}_{10}\)** & **38.19\({}_{10}\)** & **57.84\({}_{13}\)** & 54.07\({}_{8}\) & 32.9\({}_{9}\) \\
1160k & INTERISP & 97.6\({}_{3}\) & 97.59\({}_{3}\) & 98.07\({}_{3}\) & 99.75\({}_{5}\) & 99.75\({}_{5}\) & 99.81\({}_{5}\) & **99.83\({}_{6}\)** & **99.88\({}_{6}\)** \\  & MESD & 86.71\({}_{3}\) & 86.65\({}_{3}\) & 86.76\({}_{3}\) & 91.33\({}_{7}\) & 91.34\({}_{7}\) & 91.36\({}_{7}\) & **91.91\({}_{3}\)** & **91.96\({}_{7}\)** & **91.95\({}_{3}\)** \\  & MEACorpus & 90.26\({}_{4}\) & 90.24\({}_{4}\) & 87.27\({}_{7}\) & 89.09\({}_{3}\) & 89.06\({}_{3}\) & 86.01\({}_{2}\) & **91.63\({}_{6}\)** & **91.56\({}_{6}\)** & **88.79\({}_{6}\)** \\ \hline \multirow{6}{*}{W2V2-L-X} & EmoFilm\({}_{ES}\) & 76.39\({}_{6}\) & 75.26\({}_{6}\) & 75.28\({}_{6}\) & **86.11\({}_{4}\)** & **85.68\({}_{8}\)** & **84.97\({}_{4}\)** & **86.11\({}_{6}\)** & 85.67\({}_{6}\) & 84.39\({}_{6}\) \\  & EM-SpDB & 65.84\({}_{3}\) & 64.92\({}_{3}\) & 60.51\({}_{3}\) & **88.28\({}_{6}\)** & **88.32\({}_{6}\)** & **88.02\({}_{6}\)** & 86.03\({}_{6}\) & 86.08\({}_{6}\) & 85.78\({}_{6}\) \\  & EmoWisconsin & 58.58\({}_{12}\) & 52.77\({}_{12}\) & 33.01\({}_{12}\) & 57.35\({}_{6}\) & 55.91\({}_{6}\) & **35.69\({}_{15}\)** & **60.54\({}_{7}\)** & **56.61\({}_{7}\)** & 34.23\({}_{16}\) \\ XLSR53-ES & INTERISP & 96.86\({}_{4}\) & 96.84\({}_{4}\) & 97.5\({}_{4}\) & 99.5\({}_{4}\) & 99.5\({}_{6}\) & 99.63\({}_{4}\) & **99.75\({}_{5}\)** & **99.75\({}_{5}\)** & **99.81\({}_{5}\)** \\  & MESD & 87.28\({}_{4}\) & 86.63\({}_{4}\) & 87.34\({}_{4}\) & 93.64\({}_{4}\) & 93.51\({}_{4}\) & 93.68\({}_{4}\) & **94.22\({}_{3}\)** & **94.25\({}_{4}\)** & **94.25\({}_{3}\)** \\  & MEACorpus & 90.35\({}_{4}\) & 90.23\({}_{4}\) & 89.08\({}_{5}\) & 89.96\({}_{3}\) & 89.93\({}_{3}\) & 87.43\({}_{6}\) & **91.72\({}_{3}\)** & **91.56\({}_{3}\)** & **90.83\({}_{3}\)** \\ \hline \multirow{6}{*}{W2V2-L-R-L} & EmoFilm\({}_{ES}\) & 70.83\({}_{3}\) & 69.97\({}_{4}\) & 69.18\({}_{4}\) & 81.94\({}_{8}\) & 81.35\({}_{20}\) & **81.88\({}_{8}\)** & **83.33\({}_{19}\)** & **82.79\({}_{19}\)** & 81.72\({}_{19}\)** \\  & EM-SpDB & 62.09\({}_{0}\) & 60.77\({}_{0}\) & 56.69\({}_{0}\) & **86.78\({}_{5}\)** & **86.9\({}_{5}\)** & **85.93\({}_{5}\)** & 85.79\({}_{6}\) & 85.81\({}_{6}\) & 84.95\({}_{6}\) \\  & EmoWisconsin & 55.64\({}_{8}\) & 49.93\({}_{8}\) & 29.93\({}_{4}\) & 56.37\({}_{6}\) & **53.54\({}_{6}\)** & **36.08\({}_{2}\)** & **57.61\({}_{11}\)** & 52.88\({}_{11}\) & 32.66\({}_{5}\) \\  & INTER1 SP & 95.78\({}_{3}\) & 95.76\({}_{3}\) & 95.73\({}_{4}\) & **99.34\({}_{3}\)** & **99.34\({}_{3}\)** & 99.32\({}_{1}\) & **99.34\({}_{2}\)** & **Based on the highest values (highlighted in bold in Table 4), we observe that the INTERISP database achieves the highest scores using the HuBERT-L-1160k PTM and SVM classifier, achieving an accuracy of 99.83%\({}_{6}\), an F1-score of 99.83%\({}_{6}\), and a UAR of 99.88%\({}_{6}\).