Fast speech recognition method for mandarin words

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395 24, 395 249, 395 251, 395 265, G10L 906

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057648514

ABSTRACT:
A method for fast speech recognition of Mandarin words is accomplished by obtaining a first database which is a vocabulary of N Mandarin phrases. The vocabulary is described by an acoustic model which is formed by concatenating together word models. Each of the so concatenated word models is a concatenation of an initial model and a final model, wherein the initial model may be a null element, and both the initial and final model are represented by a probability model. A second database which contains initial models is determined. A preliminary logarithmic probability is subsequently calculated. A sub-set of vocabulary comprising acoustic models having the highest probability of occupance are established using the preliminary logarithmic probabilities. This facilitates recognizing phrases of Mandarin phrases which are then outputted to a user.

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