Audio Analysis, Visualization, and Transformation with the Matching Pursuit Algorithm

Garry Kling; Curtis Roads
DAFx-2004 - Naples
The matching pursuit (or MP) algorithm decomposes audio data into a collection of thousands of constituent sound particles or gaborets. These particles correspond to the “quantum” or granular model of sound posited by Dennis Gabor. This robust and highresolution analysis technique creates new possibilities for sound visualization and transformation. This paper presents an account of a first round of experiments with MP-based visualization and transformation techniques.