10. A computer-implemented method of operating an uncontrolled environment-based recognition system for recognizing speech, 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 uncontrolled environment-based recognition system for recognizing speech; 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.
10. A computer-implemented method of operating an uncontrolled environment-based recognition system for recognizing speech, 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 uncontrolled environment-based recognition system for recognizing speech; 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. 12. The computer-implemented method of claim 10 , wherein each translation result comprises a sub-set of translation results for at least one of the processed audio data, the sub-set of translation results including two or more text data and each text data is associated with a respective confidence level.