comparison draft.tex @ 16:d5f63ea0f266

fixed abstract tag, tidy doc structure

 
 \begin{document}
 \title{Cognitive Music Modelling: an Information Dynamics Approach}
 
 \author{
-	\IEEEauthorblockN{Samer A. Abdallah, Henrik Ekeus,}
-	\IEEEauthorblockN{Peter Foster and Mark D. Plumbley}
+	\IEEEauthorblockN{Samer A. Abdallah, Henrik Ekeus, Peter Foster}
+	\IEEEauthorblockN{Andrew Robertson and Mark D. Plumbley}
 	\IEEEauthorblockA{Centre for Digital Music\\
 		Queen Mary University of London\\
-		Mile End Road, London E1 4NS}}
+		Mile End Road, London E1 4NS\\
+		Email:}}
 
 \maketitle
-\abstract{People take in information when perceiving music.  With it they continually build predictive models of what is going to happen.  There is a relationship between information measures and how we perceive music.  An information theoretic approach to music cognition is thus a fruitful avenue of research.
-}
+\begin{abstract}People take in information when perceiving music.  With it they continually build predictive models of what is going to happen.  There is a relationship between information measures and how we perceive music.  An information theoretic approach to music cognition is thus a fruitful avenue of research.
+\end{abstract}
 
 
 \section{Expectation and surprise in music}
 \label{s:Intro}
 

 	pleasing. This would be of particular relevance to understanding and
 	modelling the creative process, which often alternates between generative
 	and selective or evaluative phases \cite{Boden1990}, and would have
 	applications in tools for computer aided composition.
 
-\section{Information Dynamics Approach}
-
-\subsection{Re-iterate core hypothesis}
-
-\subsection{models/parameters/observations}
-The grouping of elements into past, present and future..s
-\subsection{Information measures}
-Predictive information rate as a measure of structure 
-Cruchfield papers, anatomy of abit
-\subsection{Case of this approach being good at modelling music cognition}
-Inverted U
-\section{Applications}
-\subsection{In Analysis}
+
+\section{Information Dynamics in Analysis}
+
+ 	\subsection{Musicological Analysis}
 	refer to the work with the analysis of minimalist pieces
 	
-	Content analysis - Sound Categorisation.  Using Information Dynamics it is possible to segment music.  From there we can then use this to search large data sets. Determine musical structure for the purpose of playlist navigation and search. (Peter)
+	\subsection{Content analysis/Sound Categorisation}.  Using Information Dynamics it is possible to segment music.  From there we can then use this to search large data sets. Determine musical structure for the purpose of playlist navigation and search. 
+	\emph{Peter}
 
 \subsection{Beat Tracking}
-  Bayesian belief can be used to predict when things happen (as oppose to just what happens).  Information Dynamics of?
-  
+ \emph{Andrew}  
 
 
 \section{Information Dynamics as Design Tool}
 
-In addition to applying Information Dynamics to analysis, it is also possible use this approach in design, such as the composition of musical materials.
+In addition to applying information dynamics to analysis, it is also possible use this approach in design, such as the composition of musical materials.
 By providing a framework for linking information theoretic measures to the control of generative processes, it becomes possible to steer the output of these processes to match a criteria defined by these measures. 
 For instance outputs of a stochastic musical process could be filtered to match constraints defined by a set of information theoretic measures.  
 
 The use of stochastic processes for the generation of musical material has been widespread for decades -- Iannis Xenakis applied probabilistic mathematical models to the creation of musical materials, including to the formulation of a theory of Markovian Stochastic Music.
 However we can use information dynamics measures to explore and interface with such processes at the high and abstract level of expectation, randomness and predictability. 

    
 
 \section{Conclusion}
 
 \bibliographystyle{unsrt}
-{\bibliography{all,c4dm}}
+{\bibliography{all,c4dm,nime}}
 \end{document}