32. A non-transitory computer-readable medium comprising one or more computer-executable modules, the one or more computer-executable modules configured to cause a computer processor implemented in hardware to at least: receive a first signal comprising first speech; generate first speech recognition results using the first signal and a first acoustic model, wherein the first speech recognition results comprise a textual transcription of the first speech; and subsequent to generating the first speech recognition results: determine one or more first confidence values associated with the first speech recognition results, generate a second acoustic model based at least in part on the one or more first confidence values associated with the first speech recognition results, and generate second speech recognition results using a second signal and the second acoustic model, wherein the second speech recognition results comprise a textual transcription of second speech in the second signal; and subsequent to generating the second speech recognition results: determine one or more second confidence values associated with the second speech recognition results, determine that the first speech recognition results were generated outside a window, and generate a third acoustic model based at least in part on the one or more second confidence values.
32. A non-transitory computer-readable medium comprising one or more computer-executable modules, the one or more computer-executable modules configured to cause a computer processor implemented in hardware to at least: receive a first signal comprising first speech; generate first speech recognition results using the first signal and a first acoustic model, wherein the first speech recognition results comprise a textual transcription of the first speech; and subsequent to generating the first speech recognition results: determine one or more first confidence values associated with the first speech recognition results, generate a second acoustic model based at least in part on the one or more first confidence values associated with the first speech recognition results, and generate second speech recognition results using a second signal and the second acoustic model, wherein the second speech recognition results comprise a textual transcription of second speech in the second signal; and subsequent to generating the second speech recognition results: determine one or more second confidence values associated with the second speech recognition results, determine that the first speech recognition results were generated outside a window, and generate a third acoustic model based at least in part on the one or more second confidence values. 33. The non-transitory computer-readable medium of claim 32 , wherein the first acoustic model comprises a Gaussian mixture model.