EZTalking: English Assessment Platform for Teachers and Students

Yu Sheng Tsao, Yung Chang Hsu, Jiun Ting Li, Siang Hong Weng, Tien Hong Lo, Berlin Chen

研究成果: 雜誌貢獻會議論文同行評審

摘要

EZTalking is an AI-powered English learning platform designed to provide an effective and comfortable learning experience. Based on computer-assisted pronunciation training (CAPT) techniques, our platform features two main functions: (1) A CAPT system that quickly detects mispronunciations and provides immediate feedback to aid students in their pronunciation. (2) A learning portfolio platform that allows teachers to grasp each student's strengths and weaknesses, letting them create tailored exercises with real-time feedback on areas needing improvement. As students work through exercises in the EZTalking, they receive phoneme-level feedback, enabling them to refine their pronunciation and monitor their progress. Additionally, advanced students can take mock exams to assess their language proficiency thoroughly. With these features, EZTalking streamlines the teaching process and empowers students to reach their language learning goals with confidence.

原文英語
頁(從 - 到)1007-1008
頁數2
期刊Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
出版狀態已發佈 - 2024
事件25th Interspeech Conferece 2024 - Kos Island, 希腊
持續時間: 2024 9月 12024 9月 5

ASJC Scopus subject areas

  • 語言與語言學
  • 人機介面
  • 訊號處理
  • 軟體
  • 建模與模擬

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