Course and lesson openers
Welcome modules, learning objectives, and unit introductions, the use our note names.

Nora's published grade is C+: target quality B, training audio in the 1 to 10 hour band. Our note points her at introductions to lessons and training modules. She is the second voice in both Course intro recipes we kept, one under Delaney and one under the Mandarin voice Weilun.
Hear it
On the record
A B target quality and the middle training band give her a C+, the same grade as Grant, Chloe, and Elena. Give an opener a full sentence; very short lines are the published weak spot.
Our note is about use, not timbre: lesson openers and training modules. We kept her at 70 percent under Delaney for Course intro and under Weilun for the Mandarin version.
Length the engine likes. The published guidance puts the sweet spot at roughly 100 to 200 tokens, a few sentences; very short lines are the weak spot and very long ones can rush.
Where we would use it
Welcome modules, learning objectives, and unit introductions, the use our note names.
Compliance modules and software training. Long modules render as one file; try 0.9 times for learners.
Delaney leading with 70 percent Nora, and Weilun leading with 70 percent Nora for Mandarin lessons. Try them from the generator's presets.
Blends
The recipes we kept put Nora second, so these are pairings to try with Nora leading. She keeps the pronunciation; the second voice lends timbre.
The reverse of Course intro. Our note on Delaney is low and throaty; listen for whether half of her warms an opener without losing clarity.
50% Delaney
A pairing to try. Freya is our British lesson-script pick; listen for a lecture-hall colour under Nora's American pronunciation.
40% Freya
A pairing to try for long modules. Maya is our grade A narration voice; listen for whether 60 percent of her evens a thirty-minute read.
60% Maya
A pairing to try. Grant is our neutral American male; listen for a co-presenter feel on corporate modules.
50% Grant
Teacherly opening with a touch of warmth.
Delaney 30% + Nora 70%
Lesson opening in Mandarin.
Weilun 30% + Nora 70%
A fixed sample at this mix, rendered once and cached. No credits used.
Every blend works the same way: the first voice sets the pronunciation and pacing, the second voice lends only its timbre, and you choose the ratio between 10 and 90 percent. See the three steps on the voice library page
At a glance
| Language | English (US) |
|---|---|
| Voice | Female |
| Overall grade | C+ |
| Target quality | B |
| Training audio | 1 to 10 hours |
| Captions | Word-level captions |
| Cost | 1 credit per job, room for 10,000 characters |
| Formats | MP3 free, WAV on paid plans |
| Commercial use | Included on every plan |
| Preview | Free, no sign-up |
Grade, target quality, and training audio come from the engine's published voice list and estimate training data, not how a voice sounds.
FAQ
Because a second voice lends timbre and never changes pronunciation. Weilun says every Mandarin syllable and Nora's 70 percent share adds her colour.
0.9 times is a sensible start. The published guidance suggests adjusting speed mainly to keep long utterances from rushing, so listen before going further either way.
Yes. Nothing caps the length. One credit carries 10,000 characters of English, and the result is one file with one continuous subtitle track.
Yes. Standard voice output is cleared for commercial use on every plan, so a course you sell can use her without attribution.
Similar voices
Paste a script, keep Nora or blend a second voice, and download the MP3 with subtitles.