25/04/2020

WithYou: Automated Adaptive Speech Tutoring With Context-Dependent Speech Recognition

Xinlei Zhang, Takashi Miyaki, Jun Rekimoto

Keywords: computer assisted language learning (call), speaking, shadowing, speech recognition, intelligent tutoring system, language learning

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

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