annotate SMC2015latex/section/dataset.tex @ 60:1abc08dbde49

update dataset section
author csong <csong@eecs.qmul.ac.uk>
date Mon, 27 Apr 2015 13:09:09 +0100
parents a1575e27916d
children e2b9ccb92973
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csong@60 1 \section{Syncopation Dataset}
csong@60 2 \label{sec:data}
csong@60 3
csong@60 4 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.
csong@60 5
csong@60 6 \begin{figure}
csong@60 7 \centerline{\epsfig{figure=images/allmodels.pdf, width=\columnwidth}}
csong@60 8 \caption{\textbf{Syncopation predictions of seven models for the syncopation dataset}.}
csong@60 9 \label{fig:modelpredictions}
csong@60 10 \end{figure}
csong@60 11
csong@60 12 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}.