22. A speech recognition method comprising the steps of: processing first speech input signal data to preclassify the speech input signal and produce first preclassification output data, wherein the first speech input signal data represents a speech input signal; processing second speech input signal data to preclassify the speech input signal and produce second preclassification output data; determining when to include the first speech input signal, the second speech input signal, and a combination of the first and second speech input signals in a preferred mix of the preclassification output data by determining at least an appropriate balance between speech recognition accuracy and a speech recognition processing speed; mixing the first and second preclassification output data in accordance with the preferred mix; and classifying the speech input signal based on the preferred mix of preclassification output data.
24. The speech recognition method of claim 22 further comprising the steps of: training a first speech processor for processing the first speech input signal data with temporally related data from speech input signals corrupted with acoustic noise at a plurality of signal to noise ratios; training a second speech processor for processing the second speech input signal data with temporally related data from the speech input signals corrupted with the acoustic noise at the plurality of signal to noise ratios; and training a speech classifier to classify the speech input signal with a plurality of preclassification output data mixes.