| 摘要 |
PROBLEM TO BE SOLVED: To improve voice recognition performance.SOLUTION: A learning section (12) learns the parameter of an initial hidden Markov model that includes a plurality of states arranged in line in a time axis direction and represents each of phonemes using voice data for learning on which a vocalization label corresponding to the kind of the phoneme is attached. An acquisition section (14) performs voice recognition of the voice data for learning using an acoustic model represented by the hidden Markov model learned by the learning section to acquire the duration length of each phoneme. An adjustment section (16) performs adjustment so as to increase the number of states included in the hidden Markov model representing the phoneme belonging to a kind whose representative value of the duration length obtained for each kind of the phoneme is a first specified value or larger. |
