Automated interactive statistical call visualization using abstractions stack model framework

摘要

Statistical speech recognition application call data is visually presented. A data model is built using speech application data from disparate events. The data model is modified using predetermined abstraction rules. The modified data model is translated into a visual representation of the modified data model with multiple levels of abstraction. The visual representation of the data model is graphically displayed via an interactive graphical user interface that accepts user requests. A graphical display of the visual representation of the data model is transformed in response to receiving a user request via the interactive graphical user interface. The graphical display of a first speech data aggregate at a first level of abstraction and a second speech data aggregate at a second level of abstraction are changed as a result of the transformation.