2021 Fiscal Year Annual Research Report
Research and Development of an Automated, Interactive, and User-Configurable Conversational Agent for Always-Available Personalized Language Tutoring
| Project/Area Number |
21K17779
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| Research Institution | The University of Tokyo |
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Principal Investigator |
Zhang Xinlei 東京大学, 大学院情報学環・学際情報学府, 特任研究員 (60898138)
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| Project Period (FY) |
2021-04-01 – 2022-03-31
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| Keywords | Tutoring Agent / Speech Recognition / Multi-Modal Interface / Language Learning / Device Wakeup |
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| Outline of Annual Research Achievements |
During the six months of conducting this project, I mainly achieved two goals: 1) Developed a prototype system to allow users to generate and customize the agent through simple text editing. The system takes a text file containing the transcript of the template speech and the user's feedback mode, then creates the tutoring agent accordingly for adaptive and personalized tutoring. It is part of a paper published in EICS 2021 now.
2) Developed a novel way to allow users to awake the device by changing the prosody when speaking the keyword (e.g., Alexa) for accurate device activations. Evaluation studies show significant advantages of this method compared to Keyword Spotting based method. The results are summarized into a top-conference paper which is under review.
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