Metrics for Electronic data Representation into the Audio Space

We discuss the representations of the electronic data, especially content of the web pages, into the audio space. We define two metrics usable for comparing two distinct audio representations. First metric is connected with data changes perception by reading users. Changes in the web page that are not important for the reader comparing to the previous version are called small changes on the web page. Changes with higher importance value for reader are called huge changes. Ability to catch relevant changes in source data document by audio space representation is important measurable attribute for users reading these data. This attribute is called web change perception for web pages. First, we describe evaluation of the web change perception and next we are measuring sound perception of these representations. The applications of the metric are in tunning interfaces for representing web pages into the audio space.