A phoneme model of English speech for the design of a parallel speech understanding system

A stochastic model of English speech is described that can be used to generate a stream of phonemically labeled frames with the same characteristics as real speech to be used during the design of new computer architectures. Specialized computer architectures to perform speech understanding in real time should incorporate information about the characteristics of English speech. The English speech model described can be used to simulate efficiently the performance of new architectures and eliminates the need for massive amounts of input speech data to determine architecture design parameters. A stochastic model is used to reproduce accurately the phoneme content of English speech, including the transition probabilities, the duration mean, and the duration variance of each phoneme and silence region