Code:

• Parameter Mapping Sonification - Python
• Parameter Mapping Sonification - Python + Csound
• More parameter mapping sonification

Homework 3

due: Friday, April 29th

Perform more sophisticated parameter mapping sonification. Choose a data set and synthesis technique to design a more sophisticated parameter mapping sonification. This sonification should attempt to clearly display important/interesting "higher level" information in the dataset. At least one parameter needs to be derived from "metrics" or analysis of the data.

Reading:

Thomas Hermann, Andy Hunt, J. G. N. (Ed.). (2011). The sonification handbook. Logos Verlag Berlin. Chapter 15.

Notes:

• Psychoacoustics
• Parameter Mapping

Code:

• Audification
• Sonification in Csound

Homework 2

due: Tuesday, April 19th

Perform basic parameter mapping sonification using pure sinusoids, mapping data to frequency and amplitude. Use at least three simultaneous oscillators positioned differently in space (position can also be mapped to data), and experiment to find useful ranges, speeds and combinations. Provide a description of the data and the process in markdown with links to the sound files or an ipython notebook.

Reading:

Thomas Hermann, Andy Hunt, J. G. N. (Ed.). (2011). The sonification handbook. Logos Verlag Berlin. Chapter 3.

Notes:

• Auditory Displays

Ipython notebook:

• Data formats
• Earthquake XML
• Audification

Homework 1

due: Friday April 8th

Realize an audification of data. The data can come from any web source, but be sure to choose a source either with periodic/oscillatory components or with distinct events (like seismograph data), or remove the "trend" from data to sonify the details. Explore at least three different speeds or transformations of the data. Submit an ipython notebook with clear descriptions of the data source and the required processing.

Reading:

Thomas Hermann, Andy Hunt, J. G. N. (Ed.). (2011). The sonification handbook. Logos Verlag Berlin. Chapter 1 (partial): Pages 1-17.