Patent Document ID: 8532991
Application ID: 12720968

Base Claim:
1. A method of training a speech model, 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; and 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.

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Claim 2:
2. The method of claim 1 and further comprising: iterating on the steps of processing, calculating and modifying until the model parameters reach a desired convergence.