Human quality control
for AI-generated audio.
AI can generate voice at scale — but shipping it still needs a trained human ear. We evaluate AI-generated audio against a rigorous, production-grade checklist and tell you exactly what passes and what needs another pass.
What we evaluate
Naturalness
Does it sound like a real human — not synthetic or robotic?
Pronunciation
Accurate words, names, numbers, and domain-specific terms.
Emotion
Appropriate, believable emotional delivery for the context.
Pacing
Natural rhythm and speed — no rushing, dragging, or dead air.
Prosody
Correct stress, intonation, and melodic flow across a line.
Character consistency
A voice that stays consistent across scenes and episodes.
Dialogue realism
Convincing turn-taking, timing, and interaction between voices.
Audio artifacts
Clicks, glitches, breaths, and generation errors flagged and logged.
Overall quality
A final, holistic verdict — pass, revise, or re-generate.
The last mile of quality.
Automated scoring misses what listeners actually notice — a flat emotion, an off-beat pause, a name mispronounced. Our reviewers catch it, document it, and hand back clear, actionable notes so your team can ship with confidence.
- AI audio / voice companies01
- Audio platforms02
- Audiobook & story publishers03
- Localization companies04