Using automatic speech recognition to develop speaking skills

Date: Saturday, July 17th, 2021 Time: 3:00 PM - 4:30 PM

Speaker: Paul Daniels, Kochi University of Technology

Using automatic speech recognition to develop speaking skills can assist Japanese English-language learners who have few opportunities to speak English outside of the classroom. Further, creative solutions need to be explored that maximize speaking opportunities and prepare learners for standardized language tests that contain a speaking component. With the aid of computer-assisted language learning (CALL) technology, in conjunction with automatic speech recognition (ASR) technology, learners can receive additional extensive speaking opportunities which can lead to improved English communication skills. This presentation will introduce how CALL and ASR can be effectively deployed in the language classroom to prepare learners for online speaking exams and to provide additional extensive speaking opportunities. The presenter will outline several online speaking platforms that are designed to automatically score student speech and provide individualized speaking feedback. The presenter will also introduce an open-source speech assessment question-type for Moodle (an open-source content management system) which he has been developing over the past six years. The system employs Google's speech recognition engine to transcribe student speech into text which is then automatically scored using a phoneme-based algorithm. The speech assessment question-type is freely available via Github.com and is compatible with the latest versions of Moodle.

Organization: JACET English for Specific Purposes SIG (Japan Association of College English Teachers) Kanto (JACET ESP SIG Kanto)

Cost: free

Venue: Please register with this link by July 14, 2021. forms.gle/qZnDivdiWJaFBRj98, and go to jacet-esp-kanto.org

Location: Online, Online Events, Online Event


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Contact JACET ESP SIG Kanto

Website: jacet-esp-kanto.org/

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