changeset 33:1a9fb0e4c2fa

rephrased abstract

Binary file nime2012/mtriange.pdf has changed

--- a/nime2012/mtriange.tex	Tue Feb 07 19:49:55 2012 +0000
+++ b/nime2012/mtriange.tex	Tue Feb 07 20:04:10 2012 +0000
@@ -60,10 +60,10 @@
 
 The Melody Triangle is an exploratory interface framework for the discovery of melodic content, where the input - positions within a triangle - directly map to information theoretic measures of the output.  The measures are the entropy rate, redundancy and \emph{predictive information rate}\cite{Abdallah:2009p4089} of the melody. Predictive information rate is an information measure developed as part of the Information Dynamics of Music project\footnote{(IDyOM) http://www.idyom.org/}.  It characterises temporal structure and is a way of modelling expectation and surprise in the perception of music. 
 
-We describe the information dynamics approach and how it forms the basis of the Melody Triangle.  We outline two incarnations of the Melody Triangle where it was used with a Markov-chain based melody generator.  The first is a multi-user installation where collaboration in a performative setting provides a playful yet informative way to explore expectation and surprise in music.  The second is a screen based interface where the Melody Triangle becomes a compositional tool for the generation of intricate musical textures using an abstract, high-level description of predictability. Finally we outline a pilot study where the screen-based interface was used under experimental conditions to determine how the three measures of predictive information rate, entropy and redundancy might relate to musical preference.  	
+We describe the information dynamics approach, how it forms the basis of the Melody Triangle and outline two of its incarnations. The first is a multi-user installation where collaboration in a performative setting provides a playful yet informative way to explore expectation and surprise in music.  The second is a screen based interface where the Melody Triangle becomes a compositional tool for the generation of intricate musical textures using an abstract, high-level description of predictability. Finally we outline a pilot study where the screen-based interface was used under experimental conditions to determine how the three measures of predictive information rate, entropy and redundancy might relate to musical preference.  	
 
 \end{abstract}
-\keywords{Information dynamics, Markov chains, Collaborative performance, Aleatoric composition}
+\keywords{Information dynamics, Markov chains, Collaborative performance, Aleatoric composition, Information theory}
 
 \section{Information dynamics}
 
@@ -73,7 +73,7 @@
 
 \section{The Melody Triangle}
 %%%How we created the transition matrixes and created the triangle.
-The Melody Triangle enables the discovery of melodic content given some information theoretic criteria on that content.   This  criteria is the user input and maps to positions within a triangle.  How exactly the triangle is formed relative to the information theoretic measures is outlined in section \ref{makingthetriangle}.  The interface to the triangle may come in different forms; so far it has been realised as an interactive installation and as a traditional screen based interface.  
+The Melody Triangle enables the discovery of melodic content matching a set of information theoretic criteria.   This  criteria is the user input and maps to positions within a triangle.  How exactly the triangle is formed relative to the information theoretic measures is outlined in section \ref{makingthetriangle}.  The interface to the triangle may come in different forms; so far it has been realised as an interactive installation and as a traditional screen based interface.  
 
 The Melody Triangle does not generate the melodic content itself, but rather selects appropriate parameters for another system to generate it.  The implementations discussed in this paper use first order Markov chains as the content generator, however any generative system, so long as it possible to define a listener model to calculate the appropriate information measures can be used.