eLearning Narration with AI: Pace, Pronunciation, Terminology

Updated September 3, 2026

TL;DR: teach at 140–150 words a minute, signpost every screen, define acronyms once and then add a pronunciation rule, keep one narrator across the whole curriculum, and produce in a Studio project so a changed slide costs one paragraph. Captions come from the narration timeline, not from ASR.

Pace

Explainers on YouTube run 150–160 words a minute; learners replaying a lesson prefer 140–150. On an AI voice, set it once — director's note "steady, patient, clear" on Ultra, or choose an educational voice like Carl — and keep it for the whole course. Vary energy between modules with a tag at the start of a section, not by changing the voice.

Terminology

Structure

Updates

Courses change. When a screen changes, regenerate that paragraph; version history keeps the old take. When a term changes, edit the rule and regenerate the paragraphs that use it. Nothing else moves.

Accessibility

Export SRT/VTT with each module — built from the narration text, so they're exact — and keep the script available as a transcript. Learners on mute, learners with hearing loss and search inside the LMS all benefit.

Voices that teach well

Frequently asked questions

Which voice tier for courses?

Standard tiers are usually right: clear, consistent, economical. Use Ultra when you need multilingual delivery or emotional range in scenario-based learning.

How do I make an acronym read as letters?

Add an alias rule: pattern "API", replacement "A P I" (with spaces). The rule applies across the project.

Can I localise the course?

On Creator and above, translate the project into eight languages and re-narrate with the same setup; review each edition with a native speaker.

Does LeapFun produce SCORM?

No. Export mastered audio and subtitles per module and import them into your authoring tool or LMS.