| 摘要 |
PROBLEM TO BE SOLVED: To provide a statistical language model generator, that a statistical language model having superior performance in prediction percision, reliability and robustness is generated by executing prescribed normalizing and smoothing processes to generate a forward-looking N-gram statistical language model. SOLUTION: When a switch SW is switched to an 'a' side, a statistical language model memory 21 is connected to a word hypothesis squeezing section 6 and the section 6 executes a word hypothesis squeezing process while referring to a forward-looking N-gram statistical language model in the memory 21 generated by a language model generating section 20. When the switch SW is switched to a 'b' side, a statistical language model memory 31 is connected to the section 6, the section 6 executes a word hypothsis squeezing process while referring to a fusion N-gram statistical language model in the memory 31 generated by a language model generating section 30. Thus, voice recognition is conducted at an improved voice recognition rate. |
