| 摘要 |
PROBLEM TO BE SOLVED: To provide a voice recognizing method for finding semantic contents of speech from inputted voice with high accuracy by preventing probability dispersion due to an unnecessary calculation. SOLUTION: In the method for recognizing voice, an input voice parameter string and semantic representation with respect to the proceeding speech are received; occurrence probability, extracted from a table where the occurrence probability of each semantic representation of the next speech, is recorded is inputted; the likelihood calculation of semantic representation of a semantic representation list stored with semantic representation representing the semantic contents of a speech sentence assumed to be made by a user corresponding to the input voice parameter string is carried out by using each piece of information of an acoustic model, where syllable standard patterns corresponding to voice parameter strings is recorded; and a sentence model, representing conditioned occurrence probability between semantic representation corresponding to the syllable chain standard pattern of the speech sentence assumed to be made by the user, and semantic representation having the maximum likelihood, is outputted. |
