14. A computer-implemented dialog training system, comprising: a processing unit to implement the dialog training system; a user simulator generating a simulated training data set for the dialog training system, the simulating training data set comprising text to speech training output associated with one or more simulated utterances varying over at least one of a pitch, a rate, a volume, a noise, or combinations thereof; a speech model having a plurality of modifiable speech model parameters relating to the one or more simulated utterances, the speech model receiving the simulated training data set as a speech model input and producing related speech model output features relating to the one or more simulated utterances; a dialog action model having a plurality of modifiable dialog action model parameters relating to the one or more simulated utterances, the dialog action model receiving the related speech model output features and producing corresponding output actions relating to the one or more simulated utterances; and the dialog training system further receives one or more simulated utterances that is in need of clarification by initiating a repair dialog, wherein the utterance associated with the repair dialog is identified includes: determining what states of the repair dialog are reached from other states, the dialog system learns which states to go to when observing an appropriate speech and dialog features by trying all repair paths using the user simulator where a user's voice is generated using various text-to-speech (TTS) engines at adjustable levels; and determining which states of the repair dialog are failures or successes.
14. A computer-implemented dialog training system, comprising: a processing unit to implement the dialog training system; a user simulator generating a simulated training data set for the dialog training system, the simulating training data set comprising text to speech training output associated with one or more simulated utterances varying over at least one of a pitch, a rate, a volume, a noise, or combinations thereof; a speech model having a plurality of modifiable speech model parameters relating to the one or more simulated utterances, the speech model receiving the simulated training data set as a speech model input and producing related speech model output features relating to the one or more simulated utterances; a dialog action model having a plurality of modifiable dialog action model parameters relating to the one or more simulated utterances, the dialog action model receiving the related speech model output features and producing corresponding output actions relating to the one or more simulated utterances; and the dialog training system further receives one or more simulated utterances that is in need of clarification by initiating a repair dialog, wherein the utterance associated with the repair dialog is identified includes: determining what states of the repair dialog are reached from other states, the dialog system learns which states to go to when observing an appropriate speech and dialog features by trying all repair paths using the user simulator where a user's voice is generated using various text-to-speech (TTS) engines at adjustable levels; and determining which states of the repair dialog are failures or successes. 18. The computer-implemented dialog system of claim 14 , wherein the speech model is modified with data collected from the training system.