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Music Theory - Genetic Algorithms and Python
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- 1 Intro
- 2 TWO CONTRASTING MELODIES
- 3 CONTRASTING MELODIC SHAPES
- 4 CONTRASTING CONTOURS
- 5 CONTRASTING MELODIC DENSITY
- 6 COUNTERPOINT IS INGENIOUS As demonstrated by J.S. Bach (contrapuntal genius)
- 7 SPOT THE TRANSFORMATION(S)
- 8 BUT HOW DOES IT WORK?
- 9 JOHANN JOSEPH FUX
- 10 GRADUS AD PARNASSUM Steps to Parnassus (dwelling place of the gods).
- 11 CANTUS FIRMUS ( Fixed sang based on medieval plainchant)
- 12 RULES CONCERNING PITCH
- 13 RULES FOR MOVEMENT THROUGH TIME
- 14 HOW CAN I USE FUX'S SPECIES TO MAKE COMPUTER GENERATED COUNTERPOINT?
- 15 THE PROBLEM: • Silly/huge number of potential results. • Needle in a haystack most potential results wrong • Generating solutions algorithmically is hard. Furthermore, any solution should be: • Timel…
- 16 GENETIC ALGORITHMS! • Find acceptable solutions relatively quickly.
- 17 WORDOLUTION: AN EXAMPLE / DETOUR Wordolution evolves a solution from a starting population of words containing random letters
- 18 The fitness of a candidate solution is based upon its Levenshtein distance (number of different characters) from the target word.
- 19 The crossover function is synonymous with breeding new candidate solutions. The genetic information from both parents is mixed together to create two new children
- 20 ENCODING MUSIC FOR FOOX
- 21 FOOX FITNESS FUNCTIONS
- 22 A SIMPLE COMMAND
- 23 FIRST SPECIES COUNTERPOINT
- 24 THIRD SPECIES COUNTERPOINT
- 25 FIFTH SPECIES (UNFINISHED) Fifth species combines all of the previous species as well as extra rules concerning ornamentation of the melody
