187.A63 DSP-Processing & Generative Music
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2016W, VU, 4.0h, 6.0EC

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise

Aim of course

Expertise and methodic knowledge:

  • Sampling, quantization, Nyquist-Shannon-Theorem
  • Fourier-Theorem, FFT Analysis
  • Understanding Physical Modelling Synthesis
  • Filter design
  • Phase manipulations and ordinate distortion
  • Reverberation algorithms
  • Strategies in algorithmic composition

 

Cognitive and practical skills:

  • Realizing differend sound synthesis methods
  • Implementing filters
  • Implementing other sound effects
  • Progrmming plug-ins

Subject of course

The following subjects are covered, emphasis on specific aspects is set by the participant's choice of presentation topics.

 

  • SuperCollider (Programming language)
  • Sampling, quantization 
  • FFT Analysis
  • Granular synthesis
  • Convolution
  • Physical Modeling
  • Transitional Synthesis (Wave Sequencing,Wave Table Synthesis, Vector Synthesis)
  • Additive & Subtraktive Synthesis
  • Modulation synthesis (frequency / amplitude modulation synthesis)
  • Additive & Subtraktive Analysis & Resynthesis
  • Filter design
  • Stochastic & deterministic processes in generative music
  • Finite state machines, artificial neural networks, semantic networks, markovian models, genetic algorithms, mathematical models
  • Creativity Machines

Additional information

ECTS Breakdown

Total: 6.0 ECTS = 150h

 

60h Vorlesungszeit / Lecture time

30h Übungen / Exercise SuperCollider

15h Komposition / Composition

15h VST-Plugin

30h Hausarbeit und Vorbereitung Präsentation / Paper and preparation of the presentation

Lecturers

  • Golka, Gerald

Institute

Course dates

DayTimeDateLocationDescription
Wed08:30 - 12:0005.10.2016 - 25.01.2017Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
DSP-Processing & Generative Music - Single appointments
DayDateTimeLocationDescription
Wed05.10.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed12.10.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed19.10.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed09.11.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed16.11.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed30.11.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed07.12.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed14.12.201608:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed11.01.201708:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed18.01.201708:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music
Wed25.01.201708:30 - 12:00Seminarraum FAV EG C (Seminarraum Gödel) 187.A63: DSP-Processing & Generative Music

Examination modalities

  • One algorithmic composition, duration ca. 3-5 min. (Generative Music)
  • One VST-Plugin (DSP)
  • Term paper (either on generative music or DSP, 4 A4 pages) incl. presentation

Course registration

Begin End Deregistration end
12.09.2016 08:00 03.10.2016 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 935 Media Informatics Mandatory elective

Literature

Generative Musik

Nierhaus, Gerhard. 2009. Algorithmic Composition. Wien; New York: Springer.

 DSP

Downey, Allen. 2016. Think DSP: Digital Signal Processing in Python. O’Reilly UK Ltd. http://greenteapress.com/thinkdsp/thinkdsp.pdf

 
Steiglitz, Ken. 1996. A Digital Signal Processing Primer: With Applications to Digital Audio and Computer Music. Menlo Park, Calif.; Wokingham: Addison-Wesley.
 
Prandoni, Paolo, and Martin Vetterli. Signal Processing for Communications. 2nd ed. EFPL Press, 2013. http://www.sp4comm.org/docs/sp4comm.pdf
 
Frei, Beat. 2010a. Digital Sound Generation - Part 2: Filters. ICST, Zurich University of the Arts. http://www.icst.net/fileadmin/data/pdf/dsg/Digital_Sound_Generation_2.pdf
 
———. 2010b. Digital Sound Generation - Part 1: Oscillators. ICST, Zurich University of the Arts. http://www.icst.net/fileadmin/data/pdf/dsg/Digital_Sound_Generation_1.pdf
 
Smith III, Julius Orion. 2013a. Spectral Audio Signal Processing. https://ccrma.stanford.edu/~jos/sasp/
 
———. 2013b. Mathematics of the Discrete Fourier Transform (dft) with Audio Applications Second Edition.  https://ccrma.stanford.edu/~jos/mdft/
 
———. 2013c. Physical Audio Signal Processing for Virtual Musical Instruments and Audio Effects.  https://ccrma.stanford.edu/~jos/pasp/
 
———. 2013d. Introduction to Digital Filters with Audio Applications. https://ccrma.stanford.edu/~jos/filters/
 
———. 2013e. JOS Home Page. https://ccrma.stanford.edu/~jos/.
 
Zölzer, Udo. 2011. DAFX: Digital Audio Effects. Second Edition. Chichester, West Sussex, England: Wiley. ISBN: 9780470665992. (Online resource available at TU-Library)

Previous knowledge

Solid basic knowledge of at least one higher level programming language (e.g. Java, C++) is strongly recommended.

Miscellaneous

  • Attendance Required!

Language

German