| 摘要 |
PROBLEM TO BE SOLVED: To improve the confirmation ratio and shorten the HMM forming time by determining the tolerance when the same category as learning data is imparted to the learning data, selecting the tolerance of this learning data as a judgment reference, and learning a statistical model by use of only the selected learning data. SOLUTION: 'Learning data 1' for learning an acoustic model 1 (HMM1)' used for determining the tolerance and 'learning data 2' to be selected, which is the data for learning an 'acoustic model 2 (HMM2)' for recognition, are prepared. A preliminarily HMM1 ('acoustic model 1') is formed by use of the 'learning data 1'. The preliminary HMM1 formed therein is used to determine the tolerance when a right answer (for example, right answer sound element sequence) is imparted to each data of the 'learning data 2'. A threshold is provided in this tolerance, and a 'leaning data 2'' having a tolerance exceeding the threshold is selected to generate the 'acoustic model 2' for recognizing processing.
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