Generative Models for Automatic Speech Recognition, Understanding and Synthesis
A generalised generative model for automatic dictation and spoken translation machine is proposed. The model is based on both the generative grammar hierarchy for speech model signals composition and the comparison of them with a signal to be recognised. The details of problem solving at all levels of the speech processing hierarchy are discussed.
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