Enhancing Public Speaking Skills in Engineering Students Through AI

Kari Jaaskelainen

10 Nov 2025 — 1 min read

Meet your AI public-speaking coach

Engineers need to explain complex ideas clearly, but personalized practice is hard to get. This research builds a multimodal AI trainer that analyzes both what you say and how you say it, then delivers targeted feedback at scale.

Verbal: pitch, loudness, pacing, intonation
Non-verbal: facial expressions, gestures, posture
Expressive coherence: alignment between speech and body language

Unlike tools that score these separately, the system fuses signals from speech analysis, computer vision, and sentiment detection to suggest concrete improvements.

In early tests, AI feedback showed moderate agreement with human experts. Among evaluated Large Language Models, Gemini Pro matched human annotators best in this setup.

Bottom line: students can rehearse repeatedly and get consistent, personalized pointers, helping them sync words, presence, and emotion for stronger talks.

Paper: http://arxiv.org/abs/2511.04995v1

Paper: http://arxiv.org/abs/2511.04995v1

Register: https://www.AiFeta.com

AI PublicSpeaking EngineeringEducation EdTech CommunicationSkills Multimodal SpeechAnalysis ComputerVision SentimentAnalysis LLMs

Automating GDPR Compliance: A Roadmap for Companies and Law Firms

GDPR compliance is more than checkboxes. A new roadmap from the Privatech project shows how automation and machine learning can help companies and law firms assess—and even generate—privacy compliance. * Shift the focus to data processors’ real workflows: drafting policies, mapping data uses, documenting decisions. * Break compliance into machine-ready

FPGAs for Faster, Leaner Deep Learning: A Review of CNN Accelerators

Deep learning drives image search, robots, and medical scans. Most systems lean on CPUs and GPUs. This review asks: what if we run convolutional neural networks (CNNs) on FPGAs—reconfigurable chips you can tailor to the model? * Why FPGAs: custom dataflows, low latency, and strong energy efficiency—great for cameras,

Dynamic-K: Recommendations That Know When to Stop

Most apps show a fixed number of “top” items—say 10 movies or 20 products—assuming there are always enough good options. But that’s not always true: sometimes there are few relevant items, or some users are extra picky. The result? Filler recommendations. Dynamic-K flips the script. Instead of

Teaching chatbots to stop contradicting themselves (DECODE)

Teaching chatbots to stop contradicting themselves Ever had a bot say one thing, then the opposite a few turns later? This study introduces DECODE—a new task and dataset for spotting contradictions in everyday conversations, drawn from both human-human and human-bot chats. * New data beats existing natural language inference (NLI)

Meet your AI public-speaking coach

Read more

Automating GDPR Compliance: A Roadmap for Companies and Law Firms

FPGAs for Faster, Leaner Deep Learning: A Review of CNN Accelerators

Dynamic-K: Recommendations That Know When to Stop

Teaching chatbots to stop contradicting themselves (DECODE)