|Budget Amount *help
¥29,250,000 (Direct Cost: ¥22,500,000、Indirect Cost: ¥6,750,000)
Fiscal Year 2020: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Fiscal Year 2019: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
Fiscal Year 2018: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
Fiscal Year 2017: ¥8,190,000 (Direct Cost: ¥6,300,000、Indirect Cost: ¥1,890,000)
|Outline of Final Research Achievements
We developed technologies for an English conversation learning system based on deep learning and created a CALL system for practicing English conversation: (1) We established technology for recognizing English speech spoken by Japanese with high accuracy to improve the accuracy of interfaces for speech, facial expressions, and gestures based on deep learning. (2) To establish English pronunciation evaluation and English conversation simulation technology based on deep learning, we investigated the effects of facial expressions and gestures on English proficiency evaluation. In addition, we established a method to evaluate pronunciation with high accuracy for interactive speech. (3) We integrated the technologies to create a spoken dialogue English conversation learning system.