| 摘要 |
PROBLEM TO BE SOLVED: To determine correctness or incorrectness of a result of voice recognition in a highly precise manner employing a small amount of processing. SOLUTION: Discrimination is made to determine the correctness or incorrectness of a recognition result RCG by collating an acoustic model HMMsb and a feature vector V(n) of uttered voice, obtaining a recognition result RCG that indicates an acoustic model through which maximum likelihood is obtained, a first score FSCR which indicates the value of the maximum likelihood and a second score SSCR which indicates a next likelihood value and comparing an evaluation value FSCRX (FSCR-SSCR) based on the scores FSCR and SSCR with respect to a beforehand set threshold value THD. When it is determined that the result RCG is correct, a speaker adaptation is conducted for the model HMMsb. When it is determined that the result RCG is incorrect, no speaker adaptation is performed for the model HMMsb so as to realize improvement in the precision of the speaker adaptation or the like. COPYRIGHT: (C)2004,JPO
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