Speech recognition by statistical language using square-root...

G - Physics – 10 – L

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G10L 15/14 (2006.01)

Patent

CA 2596126

The present invention relates to a method for statistical language modeling and speech recognition providing a predetermined number of words in a predetermined order, providing a training corpus comprising a predetermined number of sequences of words, wherein each of the sequences consist of the provided predetermined number of words in the predetermined order followed by at least one additional word, providing word candidates and for each word candidate calculating on the basis of the training corpus the probability that the word candidate follows the provided predetermined number of words, determining at least one word candidate for which the calculated probability exceeds a predetermined threshold, wherein the probabilities of the word candidate are calculated based on smoothed maximum-likelihood probabilities calculated for the sequences of words of the training corpus that for all of the sequences of words of the training corpus are larger than or equal to a predetermined real positive number less than or equal to the reciprocal value of the predetermined number of sequences of words of the training corpus.

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