Transcript chaosdjproject

Chaos DJ project
Anna, Martin, Nini and Sean
CSSS 2011, Santa Fe
Motivation
• Dabby suggests that musicians can look for inspiration,
such as melodic or harmonic innovations, in musical
variations generated by chaotic mappings [1].
• We suggest that chaotic mappings can be utilized
directly to create new and infinitely distinct
compositions.
• Use of the chaotic mapping provides an excellent
balance between cliché and complete unpredictability.
Chaos Dj Group, CSSS
30/06/2011
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Procedure I
CSVMIDI
CHAOTIC
SAMPLE
Chaos Dj Group, CSSS
30/06/2011
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Procedure II
Sampling from Chaos
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Import midi as CSV file
Create dataset of notes
Import Lorenz attractor data
Reduce trajectory data set down to 1500 data
points
 Use 3-dimensional Euclidean distance between
point A and point B to determine next note
sampled
 Assign sampled notes to the pre-existing
rhythmic structure
Chaos Dj Group, CSSS
30/06/2011
Performance
A Theme
A Chaotic Variation
Chaos Dj Group, CSSS
30/06/2011
Future Development
• Unlucky initial conditions can be bad. Lower R values will also
create more 'boring music' due to sampling procedures. The
composition of the musical note dataset matters as well.
• In this instance, we retain chords as a single rhythmic event,
but already the variations reveal harmonic differences.
Consider other improvements, such as the ability to break up
pre-existing chords into constituent notes for performance.
• This is only an example of using chaotic mapping to create
melodic variation. We can use the various dimensions of the
Lorenz attractor to represent different aspects of musicality:
i.e. rhythmic or harmonic structure.
Chaos Dj Group, CSSS
30/06/2011
References
[1] Dabby, Diana S. 1996. “Musical variation from a chaotic
mapping”. Chaos 6 (2): 95-107.
Chaos Dj Group, CSSS
30/06/2011
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