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Music Composition Techniques and Concepts

Explore the intricate world of music composition techniques and concepts, including minimalism, procedural music, neural networks, and more. Understand the impact of these methods on creating innovative musical compositions.

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Music Composition Techniques and Concepts

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Presentation Transcript

  1. Review Questions

  2. 1. Minimalism is • A) little makes lots • B) lots make little • C) small ensemble • D) electronic

  3. 2. Process music maker • A) Glen Ford • B) Steve Reich • C) IannisXenakis • D) Don Rickles

  4. 3. Procedural music is • A) fast • B) algorithmic • C) slow • D) microphonic

  5. 4. Crossover is related to • A) L-systems • B) recombinance • C) markov chains • D) genetic algorithms

  6. 5. Axons are part of • A) markov chains • B) recombinance • C) the brain’s wiring • D) stochastics

  7. 6. Neural networks have • A) markov chains • B) allusions • C) signatures • D) Hidden units

  8. 7. Gradus refers to • A) Gradus ad Parnassum • B) composer’s block • C) markov chains • D) data driven programming

  9. 8. agents involve • A) object-oriented programming • B) dies irae • C) 2-D automata • D) markov chains

  10. 9. association networks are • A) small • B) markov chain related • C) universally connected • D) gradus centered

  11. 10. World Anthem created by • A) data • B) rules • C) stochastics • D) agents

  12. 11. Alice is a • A) computer program • B) recombinant • C) composer’s tool • D) all of the above

  13. 12. Déjà vu is related to • A) association • B) analysis • C) adaption • D) all of the above

  14. 13. Rules-based programming is • A) data driven • B) uses agents • C) acquires knowledge • D) chooses based on rules

  15. 14. From Darkness, Light is by • A) David Cope • B) Alice • C) Emily Howell • D) Alena

  16. 15. Emmy is based on • A) recominance • B) rules • C) stochastics • D) markov chains

  17. 16. Alice is good for • A) extending music algorithmically • B) creating new styles • C) acquiring knowledge • D) developing intuition

  18. 17. Allusions are • A) references • B) pointers • C) vague plagiarisms • D) all of the above

  19. 18. signatures are • A) composer’s blocks • B) gradus based • C) reflect consciousness • D) composer cliches

  20. 19. Gradus learns • A) harmony • B) counterpoint • C) melody • D) none of the above

  21. 20. dendrites are part of • A) markov chains • B) allusions • C) conscioiuness • D) the human brain

  22. 21. Dies Irae is • A) a harmonic depression • B) a harmonic progression • C) an allusion to death • D) a signature

  23. 22. Neural networks • A) adapt • B) learn • C) model • D) all of the above

  24. 23. Synapses are • A) spaces between axons/dendrites • B) transmitters • C) receptors • D) markov nodes

  25. 24. sequences • A) repeat • B) repeat at different pitch levels • C) develop • D) all of the aboe

  26. 25. Wolfram • A) wrote NKS • B) worked with CA • C) developed WolframAlpha • D) all of the above

  27. 26. Emily Howell uses • A) cannot learn • B) carrot stick approach • C) develops ideas • D) uses only German

  28. 27. Emily’s network has • A) half as many weights as nodes • B) twice as many weights as nodes • C) few weights • D) none of the above

  29. 28. Land of Stone by • A) Cope • B) Alice • C) Emily • D) Alena

  30. 29. Backtracking means to • A) track backwards • B) remember and try again • C) reverse and try again • D) all of the above

  31. 30. ANN means • A) Association network nodes • B) artificial neural network • C) a necessary neuron • D) a nother nothing

  32. 31. a feed forward neural network • A) called a perceptron • B) uses backpropagation • C) gets it right first time • D) does not need training

  33. 32. Emmy involves • A) association • B) backtracking • C) nodal networks • D) voice-leading

  34. 33. voice leading is • A) how voices lead to one another • B) how chords move • C) how melodies work • D) all of the above

  35. 34. destination pitches give us • A) correct voice leading • B) better harmonic progressions • C) stronger melodies • D) none of the above

  36. 35. Emmy first used • A) chopin mazurkas • B) bach chorales • C) rachmaninoff symphonies • D) beethoven

  37. 36. a function is a • A) programming action • B) variable • C) constant • D) none of the above

  38. 37. emotions are a • A) part of intelligence • B) not a part of intelligence • C) a part of programming • D) always accurate

  39. 38. learning involves • A) memory • B) association • C) mistakes • D) all of the above

  40. 39. Predicting is an important part of • A) learning • B) intelligence • C) memory • D) all of the above

  41. 40. complex adaptive systems involve • A) completely random events • B) events too complex to predict • C) follow markov orders • D) involve l-Systems

  42. 41. Emergence involves • A) complex interactions of environments • B) unpredictable behavior • C) predictable behavior • D) all of the above

  43. 42. Agents have • A) built-in data and functions • B) only external influence • C) variables • D) conflcts

  44. 43. Example of emergence • A) weather • B) markov chains • C) Stochastics • D) non-linear math

  45. 44. Boids is an example of • A) stochastics • B) probabilities • C) chess • D) emergence

  46. 45. MGC is good for • A) turning numbers into sound • B) turning numbers into .mid files • C) turning numbers into images • D) turning numbers into more numbers

  47. 46. Prime numbers are a good example of • A) pi • B) geometry • C) algebra • D) descrete mathematics

  48. 47.Mozart composed • A) concertos • B) musikalisheswurfelspiele • C) symphonies • D) all of the above

  49. 48. tossing dice produces • A) twelve outcomes • B) two outcomes • C) one outcome • D) eleven outcomes

  50. 49. chess is a game of • A) probability • B) stochastics • C) markov • D) skill

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