Automated interactive statistical call visualization using abstractions stack model framework
First Claim
1. A method for visually presenting statistical speech recognition application call data, the method comprising:
- building a data model using speech application data from disparate events;
modifying the data model using predetermined abstraction rules;
translating the modified data model into a visual representation of the modified data model with multiple levels of abstraction;
graphically displaying the visual representation of the data model via an interactive graphical user interface that accepts user requests; and
transforming a graphical display of the visual representation of the data model, in response to receiving a user request via the interactive graphical user interface, to change the graphical display of at least one first speech data aggregate at a first level of abstraction and the graphical display of at least one second speech data aggregate at a second level of abstraction.
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Abstract
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.
27 Citations
21 Claims
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1. A method for visually presenting statistical speech recognition application call data, the method comprising:
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building a data model using speech application data from disparate events;
modifying the data model using predetermined abstraction rules;
translating the modified data model into a visual representation of the modified data model with multiple levels of abstraction;
graphically displaying the visual representation of the data model via an interactive graphical user interface that accepts user requests; and
transforming a graphical display of the visual representation of the data model, in response to receiving a user request via the interactive graphical user interface, to change the graphical display of at least one first speech data aggregate at a first level of abstraction and the graphical display of at least one second speech data aggregate at a second level of abstraction. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer readable medium for storing a computer program that visually presents statistical speech recognition application call data, comprising:
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a model building code segment that builds a data model using speech application data from disparate events;
a model modifying code segment that modifies the data model using predetermined abstraction rules;
a model translating code segment that translates the modified data model into a visual representation of the data model with multiple levels of abstraction;
a model presenting code segment that graphically displays the visual representation of the data model via an interactive graphical user interface that accepts user requests; and
a display transforming code segment that transforms a graphical display of the visual representation of the data model, in response to receiving a user request via the interactive graphical user interface, to change the graphical display of at least one first speech data aggregate at a first level of abstraction and the graphical display of at least one second speech data aggregate at a second level of abstraction. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A visual statistical speech recognition application call data presenter, comprising:
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a builder that builds a data model using speech application data from disparate events;
a modifier that modifies the data model using predetermined abstraction rules;
a translator that translates the modified data model into a visual representation of the modified data model with multiple levels of abstraction;
a model displayer that graphically displays the visual representation of the data model via an interactive graphical user interface that accepts user requests, and a transformer that transforms a graphical display of the visual representation of the data model, in response to receiving a user request via the interactive graphical user interface, to change the graphical display of at least one first speech data aggregate at a first level of abstraction and the graphical display of at least one second speech data aggregate at a second level of abstraction. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification