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AI & Digital Arts · MS elective · 3 credit hours · 16 sessions

Localization & AI Dubbing

This course explores the rapid disruption of the dubbing industry by Generative AI. Students will learn to use AI tools to instantly translate and dub video content while preserving the original actor’s voice and performance. The curriculum balances technical skills (lip-syncing AI, voice cloning) with the critical study of “Cultural Localization”—ensuring that humor, idiom, and emotion translate correctly across borders.

§ 01 By the end you can
  1. Master AI Dubbing platforms (ElevenLabs, HeyGen, Papercup) for rapid localization
  2. Apply "Voice Cloning" technology ethically to retain original actor identity
  3. Execute "Visual Dubbing" (AI lip re-mapping) to match mouth movements to new languages
  4. Edit and refine AI-generated scripts for cultural nuance and slang
  5. Navigate the ethics of AI voice rights and the "Synthetic Media" legal landscape
§ 02 Sixteen sessions

The whole semester.

  1. 01The Global Content Market: Sub vs. Dub
  2. 02Traditional Dubbing vs. AI Dubbing Pipelines
  3. 03AI Translation Tools: Beyond Google Translate
  4. 04Voice Cloning: Sampling & Training Models
  5. 05Text-to-Speech (TTS) vs. Speech-to-Speech (STS)
  6. 06Script Adaptation: Timing & Labials
  7. 07Audio Post for AI: Mixing & EQing Synthetic Voices
  8. 08 · MidtermMidterm Examination
  9. 09Visual Dubbing: AI Lip-Sync Technology
  10. 10Emotion Transfer: Keeping the Performance
  11. 11Cultural Localization: Idioms & Humor
  12. 12Quality Control (QC): The "Uncanny Valley"
  13. 13Scaling: Automated Workflows for YouTubers
  14. 14Ethics: Consent & The "Deepfake" Voice
  15. 15The Future of the Voice Actor Industry
  16. 16Final Project: The Multi-Language Scene Launch

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

§ 03 Final project

Final Project: The Multi-Language Scene Launch

How it’s judged

Recommended reading
  1. The Art of Dubbing by Whitman
  2. Voice Computing: How to Talk to Machines by VUI
  3. Foundations of Statistical Natural Language Processing by Manning & Schütze
  4. Audiovisual Translation: Dubbing by Frederic Chaume
  5. Deep Learning for Audio Signal Processing (Industry Journals)
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