| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
|
|---|
| Research Abstract |
In this research we constructed a learner corpus in which each expression was subjectively evaluated by English natives, and we developed a dialogue-based CALL system which showed answers in Japanese to questions from the system to restrict their utterances, using the learner corpus. The CALL system adopts not only commonly used automatic speech recognizers using ngram and finite state automata (FSA) designed for accepting utterances in a target domain but also one using a model of out-of-scope utterances. In this research we also propose a novel classification method which classifies the speech recognition result from the recognizer using the FSA into accepted or rejected. The classification method adopts differences among acoustic likelihoods from the multiple recognizers as well as edit distances among the multiple recognizers’ outputs as features for the classifier.
|
