Voice Clone Recording Quality Checklist

Check your recording setup meets quality requirements for AI voice cloning

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Voice clone recording quality checklist

The quality of an AI voice clone is decided before you ever press “train” — it is set by the recording. Models faithfully reproduce whatever is in your samples, including the bad parts: hiss, room echo, inconsistent levels, and a monotone delivery all carry through to every future line. This checklist walks your setup against the things that actually move clone quality so you catch problems while they are still fixable.

How it works

Choose your target tool — ElevenLabs, Resemble, or PlayHT — and the checklist sets a sensible minimum duration target for that platform’s high-fidelity mode. Then tick off each requirement: a quiet noise floor, correct microphone distance, treated room acoustics, sample diversity across pace and emotion, and total recorded duration. The tool counts how many critical items pass and warns about any that will degrade the result, giving you a clear go / fix-first signal.

Tips for a clean capture

  • Fix the room before the mic. Recording in a closet of clothes or under a blanket fort kills reflections more cheaply than any plugin.
  • Set the noise floor first. Record ten seconds of silence and check it is inaudible — any audible hum will haunt every generation.
  • Read with range. Capture calm, excited, questioning, and emphatic lines so the clone can perform, not just narrate.
  • Keep levels consistent. Stay the same distance from the mic throughout; varying distance teaches the model an unstable voice.
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