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Workshop
Exploring AI-Generated Synthetic Speech for Perceptual Training and Production Practice
This 60-minute hands-on workshop invites language teachers interested in CALL tasks to explore the potential of AI assistants in generating level-appropriate elicited imitation (EI) and shadowing (Sh) audio materials. Focusing on the research question: To what extent can AI assistants generate EI and Sh content that meets targeted linguistic complexity? Participants will critically assess whether synthetic speech meets phonetic and linguistic criteria and learn strategies to “trick” AI into producing more precise English audio outputs. The session will provide demonstrations on using the International Phonetic Alphabet (IPA) alongside AI tools to generate audio files, supporting shadowing practice and enhancing perceptual discrimination skills. Interactive activities will compare AI-generated audio with human speech to evaluate naturalness, comprehensibility, and intelligibility. Attendees will gain practical skills in fine-tuning AI prompts, adapting synthetic outputs for diverse learner levels, and assessing speech quality using established linguistic criteria. Take-away benefits include hands-on experience with AI prompt engineering, insights into the integration of synthetic speech into language teaching, and practical guidelines for developing CALL materials that support both perceptual and productive language skills. This workshop empowers educators with innovative, empirically grounded strategies for enhancing language learning.
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Robert (Bob) Cvitkovic is an associate professor in the Department of Language Studies at Teikyo University in Tokyo, where he designs and evaluates AI-assisted EFL teaching materials. His current KAKENHI-funded research investigates the efficacy of AI-generated synthetic speech for elicited imitation (EI) and shadowing (Sh) in perceptual training, focusing on phonetic accuracy, linguistic complexity, and learner engagement. He has published on mobile-assisted language learning apps, speech-to-text fluency, and gamification in language education, and regularly presents at JALT, JALTCALL, and international conferences.
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Omar Massoud is an English language instructor and researcher with a focus on writing instruction for second language learners. His recent work explores how tools like ChatGPT can support early-stage academic writing in ESL contexts. He is particularly interested in how AI can assist with idea development, organization, and revision, and in how structured implementation can help students use such tools effectively and ethically.