1. A method, comprising: dividing, via at least one automatic speech recognition component, at least one voice interaction into viewable panel-level segments; assigning, via the at least one automatic speech recognition component, a score to each of the panel-level segments, each score indicating a match accuracy between the panel-level segment and a corresponding expected text of the panel-level segment; and evaluating, via the at least one automatic speech recognition component, each score against a standard, the standard defining a required score for each of the panel-level segments to be declared as a match to their corresponding expected texts.
1. A method, comprising: dividing, via at least one automatic speech recognition component, at least one voice interaction into viewable panel-level segments; assigning, via the at least one automatic speech recognition component, a score to each of the panel-level segments, each score indicating a match accuracy between the panel-level segment and a corresponding expected text of the panel-level segment; and evaluating, via the at least one automatic speech recognition component, each score against a standard, the standard defining a required score for each of the panel-level segments to be declared as a match to their corresponding expected texts. 10. The method of claim 1 , comprising comparing each panel-level segment with a corresponding expected text, wherein a confidence level threshold of the automatic speech recognition component is used to evaluate an accuracy of each panel-level segment based on an output of a comparison between each panel-level segment and its corresponding expected text.