AI Engineering/Phase 06/Lesson 16

Voice Anti-Spoofing & Audio Watermarking — ASVspoof 5, AudioSeal, WaveVerify

Voice cloning shipped faster than defenses. 2026 production voice systems need two things: a detector (AASIST, RawNet2) that classifies real vs fake speech, and a watermark (AudioSeal) that survives compression and editing. Ship both or do not ship voice cloning.

Build 1.3 hr Python

Prerequisites: Phase 6 · 06 (Speaker Recognition), Phase 6 · 08 (Voice Cloning)

#The Problem

Three related defenses:

Anti-spoofing / deepfake detection. Given an audio clip, is it synthetic or real? ASVspoof benchmarks (ASVspoof 2019 → 2021 → 5) are the gold standard.
Audio watermarking. Embed an imperceptible signal in generated audio that a detector can extract later. AudioSeal (Meta) and WavMark are the open options.
Authenticated provenance. Cryptographic signing of audio files + metadata. C2PA / Content Authenticity Initiative.

Detection handles adversaries who don't cooperate. Watermarking handles compliance — AI-generated audio should be identifiable as such. Both are required in 2026.

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The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.