15. The computer-implemented method of claim 10 , wherein the confidence threshold comprises a set of confidence thresholds, the set of confidence thresholds including a first confidence threshold and at least one subsequent confidence threshold that is lower than the first confidence threshold; and the method further comprises: determining that none of the text data is associated with the respective confidence level that exceeds the first confidence threshold; and determining whether any text data is associated with the respective confidence level that exceeds the at least one subsequent confidence threshold.
10. A computer-implemented method of recognizing speech for a medical response environment, the method comprising: operating one or more filters to each generate a set of processed audio data based on raw audio data received from one or more computing devices, the one or more filters being operated to apply filter processes to the raw audio data to generate the set of processed audio data, wherein the one or more filters comprise at least one filter appropriate for the medical response environment; operating a translator to provide a set of translation results for the raw audio data based on the set of processed audio data, each translation result being associated with at least one processed audio data and each translation result including a text data and a confidence level associated with that text data; and in response to receiving the set of translation results, automatically trigger a decision controller to select the text data that corresponds to the raw audio data, wherein the decision controller is operable to: identify at least one translation result from the set of translation results that includes the text data associated with the confidence level that exceeds a confidence threshold, determine whether the identified at least one translation result comprises more than one translation result; in response to determining the identified at least one translation result comprises more than one translation result, determine an occurrence frequency for each text data of the identified at least one translation result and select the text data based on the occurrence frequency, the occurrence frequency representing a number of times that the text data appears in the set of translation results; and generate an output signal associated with the selection by the decision controller.