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

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1007-1008
Number of pages2
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Publication statusPublished - 2024
Event25th Interspeech Conferece 2024 - Kos Island, Greece
Duration: 2024 Sept 12024 Sept 5

Keywords

  • computer-assisted pronunciation training
  • diagnosis
  • mispronunciation detection

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modelling and Simulation

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