Overview
How might we design voice cloning so people can trust and act on AI output?
When this pattern fits
- Ideal for content creation tools, accessibility applications, and personalized voice assistants where custom voice generation enhances user experience.
When to skip or lighten it
- No verified consent from the voice owner.
- Regions restrict synthetic voice without disclosure.
- Sample audio is too noisy for acceptable clone quality.
States
State model coming soon
Key UX elements
Key UX elements coming soon
Anti-patterns to avoid
Clone from a few seconds with no quality warning.
No watermark or label on synthetic speech output.
Celebrity or third-party voices without rights checks.
Training UI that hides how samples will be stored.
How products use it
| Product | Implementation |
|---|---|
| ElevenLabs | Instant voice clone from uploads with stability sliders. |
| Descript | Overdub voice model trained on user recordings. |
| Resemble.ai | Custom voice APIs with consent and verification flows. |
| Play.ht | Voice library plus clone-from-sample for creators. |
Implementation
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Pattern Definition:Frequently asked questions
How much audio is needed to clone a voice?
Products range from ~30 seconds for rough clones to several minutes for stable commercial quality. Show requirements upfront.
What consent UX is required?
Recorded attestation, terms acceptance, and optional liveness check before training starts.
How label cloned output?
Disclose synthetic speech in UI and metadata, especially for public or phone-facing use.
Clone vs preset voices?
Presets are licensed stock. Clones are user-specific models trained on their samples.