| 摘要 |
PROBLEM TO BE SOLVED: To obtain high recognition accuracy substantially as high as recognition accuracy obtained by using a matching model learnt directly using a noise superposed speech. SOLUTION: A speech recognition device is provided with: a model search section 11 which calculates likelihoods p(x<SB>t</SB>¾j, n) of N matching models for feature vectors x<SB>t</SB>of sates (j) and searches for a matching model having the maximum likelihood among the N matching models; and a likelihood calculation section 12 which calculates likelihoods p(x<SB>t</SB>¾j) of feature vectors x<SB>t</SB>in the states (j); wherein a series of optimum states are determined in a Markov process from the likelihoods p(x<SB>t</SB>¾j) of the feature vectors x<SB>t</SB>and a vocabulary corresponding to the series of optimum states is recognized. COPYRIGHT: (C)2007,JPO&INPIT
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