Voice Cloning: From Speaker Embeddings to Synthetic Voices cover

Generative AI · Ebook

Voice Cloning: From Speaker Embeddings to Synthetic Voices

by Shriira Press

4.4(4,263)102 pagesPublished 2026

A comprehensive, self-contained guide to how machines learn to capture and recreate a specific person's voice — from the speaker embeddings that distill a voice into a vector, through the cloning and voice-conversion methods that reproduce it, to the detection, watermarking, and consent frameworks that must accompany them. This is the sixth volume in a series; it blends intuition, mathematics, and runnable code, and builds on its companions on machine learning, image generation, video generation, music generation, and especially text-to-speech.

Contents

  1. 1Preface
  2. 2Chapter 1 — What Is Voice Cloning?
  3. 3Chapter 2 — The Voice as Identity
  4. 4Chapter 3 — Speaker Representation and Embeddings
  5. 5Chapter 4 — Cloning via Speaker-Adaptive TTS
  6. 6Chapter 5 — Zero-Shot and In-Context Cloning
  7. 7Chapter 6 — Voice Conversion
  8. 8Chapter 7 — Disentangling Content, Speaker, and Prosody
  9. 9Chapter 8 — Cross-Lingual and Expressive Cloning
  10. 10Chapter 9 — Real-Time and Singing-Voice Cloning
  11. 11Chapter 10 — Data, Quality, and Evaluation
  12. 12Chapter 11 — Detection, Anti-Spoofing, and Watermarking
  13. 13Chapter 12 — Applications and Deployment
  14. 14Chapter 13 — Ethics, Consent, and the Law
  15. 15Appendix A — Notation and Symbols
  16. 16Appendix B — Further Reading