240F - Audio Programming Series: Sonification

Week 3 - Parameter Mapping sonification

Code:

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.

Week 2 - Psychoacoustics

Notes:

Code:

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.

Week 1 - Introduction

Notes:

Ipython notebook:

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.

Info

Lecturer: Andrés Cabrera andres@mat.ucsb.edu

Room: Elings 2003

TA: Owen Campbell owencampbell@umail.ucsb.edu

Quarter: Spring 2016

Mailing list: http://lists.create.ucsb.edu/mailman/listinfo/240

Summary

Data sonification in auditory displays can provide information to complement, augment or replace visual displays. This course will present the established techniques for auralization, parameter driven sonification and model based sonification.

Additionally, as a tool for exploring sonification, practical aspects of writing and working with plugins and dynamic libraries in the context of audio and multimedia applications will be discussed and explored.

Syllabus

These are the websites for previous courses for the 240 series: