| 摘要 |
PROBLEM TO BE SOLVED: To realize a voice recognition device capable of reducing consumption and storage capacity of a text database formed by giving reading to KANJI (Chinese character) as holding high recognition accuracy. SOLUTION: A characteristic parameter of inputted voice is extracted in a step 10, recognition candidates are selected by using segmentation syntax and a word dictionary in a step 11 and the recognition candidates are converted into phonemes by using a character and phoneme conversion rule in a step 13. Then, standard patterns corresponding to the phonemes are read in a step 18 and similarity likelihood is simultaneously calculated by comparing the standard patterns with the characteristic parameter. Then, generation likelihood by a trigram regarding the recognition candidates is retrieved by using a first statistical language model in a step 20, the generation likelihood by a bigram with the reading is retrieved by using a second statistical language model in a step 22 and the total likelihood is calculated by adding the similarity likelihood, the generation likelihood by the trigram and the generation likelihood by the bigram together in a step 24. And the recognition candidate with the highest total likelihood is selected as a recognition result in a step 30. |
