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Building an Advanced Sampler Model
Goals:
  • Learning about advanced possibilities of sound sample control


  • Sharpening the awareness of instrumental constraints residing in commercial sound generators


  • Understanding the importance of elegant solutions in case, a feature is provided by a commercial generator, but hard to use


  • Learning to prevent from "sampling effects" and its aesthetic implications
Working steps:
  • Implementing a standard sampler model within a cybertrack generator


  • Applying a simulated control structure to the sampler model and producing various sound examples


  • Discussing the aesthetic constraints of the model


  • Defining and implementing model extensions of sophisticated sample control


  • Producing sound examples with the new model and discussing the results
Hours: 6-8
Possibilities of Extended Sound Control
Goals:
  • Getting an overview about general possibilities of sound processing


  • Learning about the aesthetic scope and the aesthetic implications of each of the methods


  • Learning to practically apply some of the advanced sound generation methods
Sound Processing Topics:
  • Granular Synthesis


  • Index Modulation


  • Working with Filter banks


  • Harmonizer


  • Convolution


  • Physical Modeling


  • Voice synthesis (CHANT)
Hours: 8-12
One Generic Model for One Piece Approach
Goals:
  • Learning about optimal musical control on different structure levels within one algorithmic model


  • Learning about ideal testing methods in large algorithmic models


  • Understanding the trade-off between models that are too easy and require too much manual treatment, and models that are too complex and require too much maintenance


  • Systematic review of the methods of a cybertrack generator
Working steps:
  • Creating a comprehensive model with different input and output opportunities


  • Testing intermediate results of the model's modules


  • Implementing new layers of different parametric and structural control


  • Creating sound examples that prove significant differences of their structure (ability to produce different cybertrack families)


  • Discussion of the technical and aesthetic implications of the "fractal" composition type
Hours: 4-6
Multiple applications of a cybertrack collection
Goals:
  • Experimenting with different potentials of a certain material disposition


  • Deeper understanding of composition types


  • Exercising the compositional workflow


  • Experiencing suitability of cybertracks in relation to the intended composition type
Working steps:
  • Creating a small cybertrack collection


  • Trying to realize 4 different musical scenarios (15-30 seconds of music) with this cybertrack collection, each one belonging to another composition type


  • Discussion of results
Hours: 6-12
Using Random Models - Where and Which?
Goals:
  • Understanding aesthetic implications of using random models


  • Learning about different types of random methods


  • Understanding when deterministic methods can be replaced by random methods (genotype/phenotype relation)
Random methods:
  • 1/f noise


  • Filtered random


  • Marcov chains


  • Random effective in major structure controls


  • Random used in simulation models of known musical pattern
Hours: 4-6
Principles of Muscial Object Relations
Goals:
  • Deeper understanding of musical syntax and its meaning for musical communication


  • Learning about different types of syntactic relations


  • Ability to identify syntax principles in given music examples and to apply those principles in musical studies
Subjects:
  • Redundant and entropy assemblies of musical objects


  • Semantic paradigm of musical objects (continuum of "icon - index - symbol"), importance of icon-like designates


  • Basic patterns of element sequences: vector, bow, pendulum and random forms and their combinations (linear sequence per parameter, hierarchical per parameter, between different voices per parameters, between different parameters, macro parameters such as density, etc.)


  • Operations: concatenation, split, addition, subtraction, filtering, interpolation, interchange, etc.


  • Small and big number of elements and their figurative potential (figurative and summative perception)


  • Anticipation and frame redundancy (probability of subsequent elements), redundancy of entropy


  • Contrast phenomenon: fusion power of similarity and of contrast, relativity of contrast, binary contrast


  • Hierarchical principles (number of hierarchies, latent hierarchy, group processes, relative groups, presence hierarchy, contrast hierarchy, binary hierarchy)


  • Perceptional principles (resulting patterns through perception, different interpretations with each new listening of the same content, moving focus in polyphony, musical foreground and background, optimum parameter ranges of differentiation, periodical and aperiodical information potential)


  • Simulation and analysis models
Hours: 12-16
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