1. A computer-implemented method comprising: defining, in an automated speech recognizer in which audio data is processed by a signal conditioning stage followed by a noise suppression stage followed by a language modeling stage, the signal conditioning stage including quantity i processing alternatives, the noise suppression stage including quantity j processing alternatives, and the language modeling stage including quantity k processing alternatives, quantity (i*j*k) alternative paths for processing the audio data through the multiple stages of the automated speech recognizer, i, j, and k being greater than one; generating, for each of the quantity (i*j*k) alternative paths, a transcription of particular audio data based on processing the particular audio data through each of the stages of the automated speech recognizer according to the alternative path; and selecting a particular transcription from among the respective transcriptions that are generated for the quantity (i*j*k) alternative paths; and providing the particular transcription for output.