Mercurial > hg > cip2012
comparison draft.tex @ 50:35702e0f30c4
Quick and dirty conclusion.
author | Henrik Ekeus <hekeus@eecs.qmul.ac.uk> |
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date | Thu, 15 Mar 2012 22:01:00 +0000 |
parents | 9a0d400bc827 |
children | 5ecbaba42841 |
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49:86439d4f0cf6 | 50:35702e0f30c4 |
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974 %`get bored', the musician would have to change and vary their playing, eliciting | 974 %`get bored', the musician would have to change and vary their playing, eliciting |
975 %new and unexpected outputs in trying to keep the Musicolour interested. | 975 %new and unexpected outputs in trying to keep the Musicolour interested. |
976 | 976 |
977 | 977 |
978 \section{Conclusion} | 978 \section{Conclusion} |
979 | 979 We outlined our information dynamics approach to the modelling of the perception of music. This approach models the subjective assessments of an observer that updates its probabilistic model of a process dynamically as events unfold. We outlined `time-varying' information measures, including a novel `predictive information rate' that characterises the surprisingness and predictability of musical patterns. |
980 | |
981 | |
982 We have outlined how information dynamics can serve in three different forms of analysis; musicological analysis, sound categorisation and beat tracking. | |
983 | |
984 We have described the `Melody Triangle', a novel system that enables a user/composer to discover musical content in terms of the information theoretic properties of the output, and considered how information dynamics could be used to provide evaluative feedback on a composition or improvisation. Finally we outline a pilot study that used the Melody Triangle as an experimental interface to help determine if there are any correlations between aesthetic preference and information dynamics measures. | |
980 | 985 |
981 | 986 |
982 \section{acknowledgments} | 987 \section{acknowledgments} |
983 This work is supported by EPSRC Doctoral Training Centre EP/G03723X/1 (HE), GR/S82213/01 and EP/E045235/1(SA), an EPSRC Leadership Fellowship, EP/G007144/1 (MDP) and EPSRC IDyOM2 EP/H013059/1. | 988 This work is supported by EPSRC Doctoral Training Centre EP/G03723X/1 (HE), GR/S82213/01 and EP/E045235/1(SA), an EPSRC Leadership Fellowship, EP/G007144/1 (MDP) and EPSRC IDyOM2 EP/H013059/1. |
984 | 989 |