# HG changeset patch
# User csong <csong@eecs.qmul.ac.uk>
# Date 1430136610 -3600
# Node ID bae079ff88e2f7e43df8ddb32f7faf952e635328
# Parent  1abc08dbde499cdcee0cc847dd45281d8ea14f31# Parent  79ce0dd919468380358e005a8fc407ef55a739ab
Merge

diff -r 79ce0dd91946 -r bae079ff88e2 SMC2015latex/images/allmodels.pdf
Binary file SMC2015latex/images/allmodels.pdf has changed
diff -r 79ce0dd91946 -r bae079ff88e2 SMC2015latex/section/dataset.tex
--- a/SMC2015latex/section/dataset.tex	Mon Apr 27 12:51:49 2015 +0100
+++ b/SMC2015latex/section/dataset.tex	Mon Apr 27 13:10:10 2015 +0100
@@ -1,2 +1,12 @@
-\section{Data Set}
-\label{sec:data}
\ No newline at end of file
+\section{Syncopation Dataset}
+\label{sec:data}
+
+The major outcome of the SynPy toolkit is to provide prediction of the level of syncopation of a certain rhythm pattern, or none if not applicable. As a demonstration, we apply all seven syncopation models on the rhythms in the syncopation perceptual dataset in~\cite{Song14thesis, Song13}. This dataset includes 27 monorhythms in 4/4 meter, 36 monorhythms in 6/8 and 48 polyrhythms in 4/4, altogether 111 rhythm-stimuli. 
+
+\begin{figure}
+\centerline{\epsfig{figure=images/allmodels.pdf, width=\columnwidth}}
+\caption{\textbf{Syncopation predictions of seven models for the syncopation dataset}.}
+\label{fig:modelpredictions}
+\end{figure}
+
+Figure~\ref{fig:modelpredictions} plots the syncopation predictions of individual model for each rhythm. It shows that each model has different ranges of prediction and applicable scope of rhythm categories (consistent with Table~\ref{ta:capabilities}. 
\ No newline at end of file