true final

[asr1617.git] / results.tex

diff --git a/results.tex b/results.tex
index 57f6779..1f13895 100644 (file)
--- a/results.tex
+++ b/results.tex
@@ -3,20 +3,21 @@ Table~\ref{tbl:singing} shows the results for the singing-voice detection. The
 performance is given by the fraction of correctly classified samples
 (accuracy). The rows represent the count of hidden nodes, the columns represent
 the analysis window step size and the analysis window length in the \gls{MFCC}
-extraction.
+extraction. A ceiling effect was observed after two epochs for every hidden
+node configuration.
 
 \begin{table}[H]
        \centering
-       \begin{tabular}{rccc}
+       \begin{tabular}{rrccc}
                \toprule
-                  & \multicolumn{3}{c}{Parameters (step/length)}\\
-                   & 10/25 & 40/100 & 80/200\\
+                  & & \multicolumn{3}{c}{Parameters (step/length)}\\
+                  & & 10/25 & 40/100 & 80/200\\
                \midrule
                \multirow{4}{*}{Hidden Nodes}
-                & 0.86 (0.34) & 0.87 (0.32) & 0.85 (0.35)\\
-                & 0.87 (0.31) & 0.88 (0.30) & 0.87 (0.32)\\
-                & 0.88 (0.30) & 0.88 (0.31) & 0.88 (0.29)\\
-                & 0.89 (0.28) & 0.89 (0.29) & 0.88 (0.30)\\
+                & 3 & 0.86 (0.34) & 0.87 (0.32) & 0.85 (0.35)\\
+                & 5 & 0.87 (0.31) & 0.88 (0.30) & 0.87 (0.32)\\
+                & 8 & 0.88 (0.30) & 0.88 (0.31) & 0.88 (0.29)\\
+                & 13 & 0.89 (0.28) & 0.89 (0.29) & 0.88 (0.30)\\
                \bottomrule
        \end{tabular}
        \caption{Binary classification results (accuracy (loss))}%
@@ -39,20 +40,22 @@ drops. This phenomenon is visible throughout the songs.
 
 \section{\emph{Singer}-voice detection}
 Table~\ref{tbl:singer} shows the results for the singer-voice detection. The
-same metrics are used as in \emph{Singing}-voice detection.
+same metrics are used as in \emph{Singing}-voice detection. In these
+experiment a ceiling effect was observed after two to three epochs for every
+hidden node configuration.
 
 \begin{table}[H]
        \centering
-       \begin{tabular}{rccc}
+       \begin{tabular}{rrccc}
                \toprule
-                  & \multicolumn{3}{c}{Parameters (step/length)}\\
-                   & 10/25 & 40/100 & 80/200\\
+                  & & \multicolumn{3}{c}{Parameters (step/length)}\\
+                  & & 10/25 & 40/100 & 80/200\\
                \midrule
                \multirow{4}{*}{Hidden Nodes}
-                & 0.83 (0.48) & 0.82 (0.48) & 0.82 (0.48)\\
-                & 0.85 (0.43) & 0.84 (0.44) & 0.84 (0.44)\\
-                & 0.86 (0.41) & 0.86 (0.39) & 0.86 (0.40)\\
-                & 0.87 (0.37) & 0.87 (0.38) & 0.86 (0.39)\\
+                & 3 & 0.83 (0.48) & 0.82 (0.48) & 0.82 (0.48)\\
+                & 5 & 0.85 (0.43) & 0.84 (0.44) & 0.84 (0.44)\\
+                & 8 & 0.86 (0.41) & 0.86 (0.39) & 0.86 (0.40)\\
+                & 13 & 0.87 (0.37) & 0.87 (0.38) & 0.86 (0.39)\\
                \bottomrule
        \end{tabular}
        \caption{Multiclass classification results (accuracy
@@ -89,6 +92,6 @@ singing.
 \begin{figure}[H]
        \centering
        \includegraphics[width=.7\linewidth]{alien2}.
-       \caption{Plotting the classifier with alien data containing strange vocal
-       styles}\label{fig:alien2}
+       \caption{Plotting the classifier with alien data containing unobserved
+       vocal styles}\label{fig:alien2}
 \end{figure}