WithYou: Automated Adaptive Speech Tutoring With Context-Dependent Speech Recognition
Xinlei Zhang, Takashi Miyaki, Jun Rekimoto
Abstract
Learning to speak in foreign languages is hard. Speech shadowing has been rising as a proven way to practice speaking, which asks a learner to listen and repeat a native speech template as simultaneously as possible. However, shadowing can be hard to do because learners can frequently fail to follow the speech and unintentionally interrupt a practice session. Worse, as a technical way to evaluate shadowing performance in real-time has not been established, no automated solutions are available to help. In this paper, we propose a technical framework with context-dependent speech recognition to evaluate shadowing in real-time. We propose a shadowing tutor system called WithYou, which can automatically adjust the playback and the difficulty of a speech template when learners fail, so shadowing becomes smooth and tailored. Results from a user study show that WithYou provides greater speech improvements (14%) than the conventional method (2.7%) with a lower cognitive load.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers4
- CriTrainer: An Adaptive Training Tool for Critical Paper ReadingKangyu Yuan, Hehai Lin, Shilei Cao, Zhenhui Peng et al.UIST 2023 · 21 citations
- Designing CAST: A Computer-Assisted Shadowing Trainer for Self-Regulated Foreign Language Listening PracticeMohi Reza, Dongwook YoonCHI 2021 · 4 citations
- CaseMaster: Designing and Evaluating a Probe for Oral Case Presentation Training with LLM AssistanceYang Ouyang, Yuansong Xu, Chang Jiang, Yifan Jin et al.CHI 2026 · 1 citation
- RhythmTA: A Visual-Aided Interactive System for ESL Rhythm Training via Dubbing PracticeChang Chen, Sicheng Song, Shuchang Xu, Zhicheng Li et al.UIST 2025 · 1 citation
Related papers
- Error-preserving Automatic Speech Recognition of Young English Learners' LanguageJanick Michot, Manuela Hürlimann, Jan Deriu, Luzia Sauer et al.ACL 2024 · 2 citations
- AI Twin: Enhancing ESL Speaking Practice through AI Self-Clones of a Better MeMinju Park, Seunghyun Lee, Juhwan Ma, Dongwook YoonCHI 2026 · 2 citations
- PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective FeedbackYaohua Bu, Tianyi Ma, Weijun Li, Hang Zhou et al.CHI 2021 · 11 citations
- SpeakEasy: Enhancing Text-to-Speech Interactions for Expressive Content CreationStephen Brade, Sam Anderson, Rithesh Kumar, Zeyu Jin et al.CHI 2025 · 7 citations
- CoPracTter: Toward Integrating Personalized Practice Scenarios, Timely Feedback and Social Support into An Online Support Tool for Coping with Stuttering in ChinaLi Feng, Zeyu Xiong, Xinyi Li, Mingming FanCHI 2023 · 3 citations
