mlsanityData to 14 Oct 2026

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

arXiv 2606.27380 ↗First posted 11 May 2026cs.CLcited by 0

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Abstract (arXiv)

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 systems along these dimensions. This survey reviews and categorizes automated presentation coaching systems, spanning pronunciation tutors, fluency and prosody coaches, multimodal trainers, and conference Q&A practice tools. We introduce a five-dimensional task taxonomy - covering segmental pronunciation, lexical stress, suprasegmental prosody, pacing, and content faithfulness - and explicitly map surveyed systems onto it to reveal coverage gaps. We further review the core technical methods these systems employ: TTS-based exemplar generation and diagnostic methods for pronunciation, prosody, and fluency assessment. Key open challenges include the scarcity of annotated presentation corpora, achieving accent-fair feedback across diverse L1 backgrounds, and delivering low-latency diagnostics for real-time rehearsal.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 80 references that are in the map. First posted on arXiv 11 May 2026.

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27 of 80 references.

References · 27

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
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15 more
  1. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 399
  2. 2023Voicebox: Text-Guided Multilingual Universal Speech Generation at Scalecited by 379
  3. 2024F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matchingcited by 361
  4. 2018Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesiscited by 282
  5. 2021YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyonecited by 278
  6. 2018TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptationcited by 226
  7. 2019AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Losscited by 192
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  9. 2021speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessmentcited by 58
  10. 2022Transformer-Based Multi-Aspect Multi-Granularity Non-Native English Speaker Pronunciation Assessmentcited by 37
  11. 2025Assessment of L2 Oral Proficiency using Speech Large Language Modelscited by 14
  12. 2020Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attentioncited by 9
  13. 2025PresentCoach: Dual-Agent Presentation Coaching through Exemplars and Interactive Feedbackcited by 5
  14. 2025Prosodically Enhanced Foreign Accent Simulation by Discrete Token-based Resynthesis Only with Native Speech Corporacited by 3
  15. 2024A Pilot Study of GSLM-based Simulation of Foreign Accentuation Only Using Native Speech Corporacited by 2

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