Speech recognition employing a set of markov models that...

G - Physics – 10 – L

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354/54

G10L 9/02 (1985.01)

Patent

CA 1259411

ABSTRACT SPEECH RECOGNITION EMPLOYING A SET OF MARKOV MODELS THAT INCLUDES MARKOV MODELS REPRESENTING TRANSITIONS TO AND FROM SILENCE The present invention relates to apparatus and method for constructing word baseforms which can be matched against a string of generated acoustic labels which in- cludes: forming a set of phonetic phone machines, wherein each phone machine has (i) a plurality of states, (ii) a plurality of transitions each of which extends from a state to a state, (iii) a stored proba- bility for each transition, and (iv) stored label output probabilities, each label output probability corre- sponding to the probability of said each phone machine producing a corresponding label; wherein said set of phonetic machines is formed to include a subset of onset phone machines, the stored probabilities of each onset phone machine corresponding to at least one phonetic element being uttered at the beginning of a speech seg- ment; and wherein said set of phonetic machines is formed to include a subset of trailing phone machines, the stored probabilities of each trailing phone machine corresponding to at least one single phonetic element being uttered at the end of a speech segment. Word baseforms are constructed by concatenating phone ma- chines selected from the set.

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