AI Voice & Voice Cloning: Production and Consent
Scripts written for the ear, directing delivery, a seven-point QC pass, and the written consent standard that keeps voice cloning lawful.
Synthetic speech is now often indistinguishable from a competent human read, for scripted single-speaker narration. This course teaches the narrow craft that makes it usable: rewriting text for the ear (most bad synthetic audio is a writing problem), building a pronunciation dictionary so names and code-switched English stop breaking, directing delivery through voice selection and stability settings, and a seven-point QC pass that catches the errors you stop hearing after the fifth read. On cloning it is uncompromising: explicit written permission with scope, revocation and retention, never a public figure or a colleague, and labelling assumed everywhere given India's deepfake framework and the EU AI Act transparency rules.
What you'll learn
- Judge where synthetic voice is genuinely good enough and where it is not
- Rewrite scripts for the ear and build a pronunciation dictionary
- Direct delivery through voice choice, stability, pacing and multiple takes
- Apply a written consent standard before cloning any voice
- Run a seven-point QC pass and master audio for delivery
- Package the whole pipeline as a service worth paying for
Course content
- 1. What synthetic voice is good enough for in 2026 (15 min)
- 2. Writing scripts for the ear (15 min)
- 3. Directing delivery: pacing, emphasis, and takes (15 min)
- 4. Voice cloning: consent, law, and doing it properly (15 min)
- 5. Quality control before anyone hears it (15 min)
- 6. Building a voice production workflow (15 min)
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