Soundserver: data sonification on-demand for computational

Abstract

The rapid accumulation of large collections of data has created the need for efficient and intelligent schemes for knowledge extraction and results analysis. The resulting information is typically visualized, but it may also be presented through audio techniques such as sonification. Sonification techniques become especially interesting when the client application runs on graphically limited devices such as mobile phones or PDAs (Personal Digital Assistants). In this paper we present an architecture for a sonification server that will be used in the Sound Data Mining project. In this project sound will be used to increase perception and present information extracted by spatial data mining techniques. The server is based on an audio synthesis engine and will relieve clients with little audio synthesis capabilities from the burden of sound processing. By providing sonification modules, this server can potentially be used on a variety of applications where sonification techniques are required