elaborate on results and fix typo in acronyms

[asr1617.git] / methods.tex

diff --git a/methods.tex b/methods.tex
index 210e135..cb65d48 100644 (file)
--- a/methods.tex
+++ b/methods.tex
@@ -212,6 +212,9 @@ batch size of $32$.
 
 \section{Results}
 \subsection{\emph{Singing} voice detection}
+Table~\ref{tbl:singing} shows the results for the singing-voice detection.
+Figure~\ref{fig:bclass} shows an example of a segment of a song with the
+classifier plotted underneath to illustrate the performance.
 
 \begin{table}[H]
        \centering
@@ -226,16 +229,18 @@ batch size of $32$.
                13h & 0.89 (0.28) & 0.89 (0.29) & 0.88 (0.30)\\
                \bottomrule
        \end{tabular}
-       \caption{Binary classification results (accuracy (loss))}
+       \caption{Binary classification results (accuracy
+               (loss))}\label{tbl:singing}
 \end{table}
 
 \begin{figure}[H]
        \centering
        \includegraphics[width=.6\linewidth]{bclass}.
-       \caption{Plotting the classifier under the audio signal}
+       \caption{Plotting the classifier under the audio signal}\label{fig:bclass}
 \end{figure}
 
 \subsection{\emph{Singer} voice detection}
+Table~\ref{tbl:singer} shows the results for the singer-voice detection.
 
 \begin{table}[H]
        \centering
@@ -250,7 +255,8 @@ batch size of $32$.
                13h & 0.87 (0.37) & 0.87 (0.38) & 0.86 (0.39)\\
                \bottomrule
        \end{tabular}
-       \caption{Multiclass classification results (accuracy (loss))}
+       \caption{Multiclass classification results (accuracy
+               (loss))}\label{tbl:singer}
 \end{table}
 
 \subsection{Alien data}