| 摘要 |
PROBLEM TO BE SOLVED: To obtain a recognition result by an extended recognition dictionary suitable to a new speaker, with a small amount of calculation. SOLUTION: By comparing a sound model sequence which is output from the voice recognition result of input voice for learning, with an input correct sound model sequence, relation between the models is calculated as utterance change data. In the calculated utterance change data, widely appearing utterance change and locally appearing utterance change are classified. A plurality of utterance change sets are made by combining the classified widely appearing utterance change and the locally appearing utterance change. A recognition dictionary is extended for each utterance change set by utterance change included in each utterance change set. Especially, the utterance change element which is effective for determining each of the utterance change set, and a probability weighted information amount of the utterance change element and the utterance change set are extracted as utterance change set determination information. COPYRIGHT: (C)2010,JPO&INPIT |
