9. A computer-readable storage device with computer-executable instructions stored thereon which, when executed by a computer, perform a method for training a speech model, the method comprising: obtaining model parameters for the speech model; processing a known speech input using the speech model with the model parameters to generate a process result; calculating a distance between a true result and the process result, given the model parameters and the known speech input, the true result comprising a true transcription, the true transcription corresponding to only the following waveform states: silence, noise, onset and speech, instead of a phonetic transcription; modifying the model parameters to reduce the distance between the true result and the process result, to obtain a modified model, wherein reducing the distance between the true result and the process result comprises maximizing a function comprising a parameter set for an acoustic model and a super utterance, the super utterance comprising a feature vector sequence, the true result and the process result; and iterating on the steps of processing, calculating and modifying until the model parameters reach a desired convergence.
9. A computer-readable storage device with computer-executable instructions stored thereon which, when executed by a computer, perform a method for training a speech model, the method comprising: obtaining model parameters for the speech model; processing a known speech input using the speech model with the model parameters to generate a process result; calculating a distance between a true result and the process result, given the model parameters and the known speech input, the true result comprising a true transcription, the true transcription corresponding to only the following waveform states: silence, noise, onset and speech, instead of a phonetic transcription; modifying the model parameters to reduce the distance between the true result and the process result, to obtain a modified model, wherein reducing the distance between the true result and the process result comprises maximizing a function comprising a parameter set for an acoustic model and a super utterance, the super utterance comprising a feature vector sequence, the true result and the process result; and iterating on the steps of processing, calculating and modifying until the model parameters reach a desired convergence. 10. The computer-readable storage device of claim 9 wherein the speech model comprises the acoustic model, and wherein processing a known speech input to generate a process result comprises: performing speech recognition on acoustic data indicative of a known acoustic input, using the acoustic model with the model parameters, to generate a speech recognition result.