392160 Sonification and Sound Synthesis (V) (SoSe 2016)

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Sound is a ubiquitous component in our physical environments: each physical interaction
creates an acoustic reaction and we also use sound for communication (speech, music).
In contrast, the digital worlds are inherently silent and our listening capabilities is neglected when it comes to investigate data.

In this lecture we first investigate, what sound is, how it works in the real world (acoustics), how we process audio signals (psychoacoustics), and then in more detail, how we can compute sound signals (sound synthesis). Standard approaches such as additive/subtractive synthesis, granular synthesis, FM-synthesis and nonlinear synthesis will be covered.

These techniques can then be used in turn to also represent data sets by using sound,
which is called Sonification within Auditory Displays. The lecture will provide a basic introduction into the interdisciplinary research field of sonification, and show various practical application examples that illustrate how sound can be a useful component,
for exploratory data analysis, for visually impaired users, for ambient information systems, etc.

Participants can practically experiment with sound synthesis and sonification techniques,
using SuperCollider, the python digital signal processing system pyo, and python/scipy/matplotlib to
analyze data.

The lecture will be offered as part of the module 'Ambient Intelligence and Auditory Interfaces' from next year on. Students can have their credit points then registered as part of the module if wished.

Bibliography

The sonification handbook (http://sonification.de/handbook)

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39-Inf-MIKE Modularized Individual Addition Modularisierter individueller Kompetenz-Erwerb (MiKE) - Ungraded examination Student information
39-M-Inf-MIKE Modularized Individual Addition Modularisierter individueller Kompetenz-Erwerb (MiKE) - Ungraded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


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Last update basic details/teaching staff:
Wednesday, January 13, 2016 
Last update times:
Tuesday, April 12, 2016 
Last update rooms:
Tuesday, April 12, 2016 
Type(s) / SWS (hours per week per semester)
lecture (V) / 2
Department
Faculty of Technology
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