Patent ID: 6505156
Filing Date: 2003-01-07
Classification: G10L

Abstract:
A method for recognizing a keyword in spoken language, comprising the steps of:representing the keyword by a sequence of statuses W of hidden Markov models; sampling the spoken language with a predetermined rate and producing a feature vector Ot at every sampling time t for a voice signal from the spoken language belonging to the sampling time t; imaging a sequence O of feature vectors Ot onto the sequence of statuses with a Viterbi algorithm, whereby a local confidence standard is calculated on the basis of an emission standard at a status; with the Viterbi algorithm supplying a global confidence standard; recognizing the keyword in the spoken language when the following applies C(W,O)<T, whereC( ) denotes the confidence standard, W denotes the keyword, presented as a sequence of statuses, O denotes the sequence of feature vectors Ot, and T denotes a predetermined threshold; and otherwise, the keyword in the spoken language is not recognized.