| 摘要 |
<p><P>PROBLEM TO BE SOLVED: To construct a highly accurate interactive model even in the case of using interactive data which have been rarely transmitted/received three or more times as learning data. <P>SOLUTION: A subset extraction part 12 acquires a plurality of interactive data each of which has been transmitted/received two times. An entry word extraction part 14 extracts an entry word from dictionary data 20, and a category extraction part 16 extracts category information, and creates a pair of entry word/category information. A subset extraction part 12 applies the category information to each word in the acquired interactive data on the basis of the entry word/category information, and extracts the interactive data including an input keyword in its words and category information as a subset. An interactive model learning part 18 performs the clustering of speech data whose content is close from the interactive data which have been transmitted/received two times in a learning process by using the subset to learn an HMM(Hidden Markov Mode) while constituting the interactive data which have been transmitted/receive beyond two times, and outputs the learnt HMM as an interactive model. <P>COPYRIGHT: (C)2013,JPO&INPIT</p> |
