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

Honorable Mention
Voice User Interface (VUI) DesignIntelligent Voice Assistants (Alexa, Siri, etc.)Intelligent Tutoring Systems & Learning AnalyticsSpecial Education TeachersEarly Childhood EducatorsCraft Artisans (Textiles, Ceramics, etc.)Online Tutors

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.

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https://hci.top/en/papers/chi/32433/2020

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DOI: https://doi.org/10.1145/3313831.3376322
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Source
CHI
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Year
2020
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Award
Honorable Mention
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Authors
3 authors
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Subtopics
Voice User Interface (VUI) Design, Intelligent Voice Assistants (Alexa, Siri, etc.), Intelligent Tutoring Systems & Learning Analytics
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Professions
Special Education Teachers, Early Childhood Educators, Craft Artisans (Textiles, Ceramics, etc.), Online Tutors
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Content Status
Abstract only
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