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Survey maps automated presentation coaching systems and identifies research gaps

By PulseAugur Editorial · [1 sources] ·

This survey paper provides a comprehensive overview of automated presentation coaching systems, categorizing them by their focus on pronunciation, fluency, prosody, and multimodal training. It introduces a five-dimensional taxonomy to map existing systems and identify coverage gaps, while also reviewing the core technical methods used for generating examples and assessing speech. The paper highlights key challenges such as the lack of annotated corpora, ensuring accent-fair feedback, and providing real-time diagnostics. AI

IMPACT Identifies key research gaps and technical methods in automated presentation coaching, potentially guiding future development in AI-powered educational tools.

RANK_REASON The item is a survey paper published on arXiv detailing systems, methods, and challenges in automated presentation coaching. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey maps automated presentation coaching systems and identifies research gaps

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The item is a survey paper published on arXiv detailing systems, methods, and challenges in automated presentation coaching. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Wen Liang, Li Siyan, Zackary Rackauckas, Julia Hirschberg ·

    A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges

    arXiv:2606.27380v1 Announce Type: new Abstract: Automated coaching for oral presentations sits at the intersection of computer-assisted pronunciation training (CAPT), prosody modeling, and speech synthesis, yet no prior work has systematically surveyed and compared existing syste…

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