| 摘要 |
PROBLEM TO BE SOLVED: To improve a speech recognition rate by making learning by using the characteristic parameters of speech data subjected to speaker normalization and learning the fluctuations by differences in speaker characteristics. SOLUTION: A phoneme collation section 4 executes phoneme collation processing according to the phoneme collation request from a phoneme context dependence type LR parser 5 and calculates the likelihood to the data within the phoneme collation section by using the speaker model of the element HMM stored in a memory of a speaker adapted hidden Markov model(HMM) 11. The likelihood is returned as a phoneme collation score to the LR parser 5. The LR parser 5 references an LR table 12, executes processing without returning between from the left to the right direction relating to the inputted phoneme prediction data, predicts the next phoneme from the LR table 12 and outputs the same to the phoneme collation section 4. The phoneme collation section 4 makes collation by referencing the information within the HMM 11 for the phoneme and returns the likelihood thereof as a speech recognition score to the LR parser 5 which successively connects the phonemes and recognized the connected speeches. |
