Case Study
VoiceChain
Voice authentication is becoming increasingly relevant. Voice is becoming a global standard for human-machine communication. The identity layer that separates real from synthetic voices is missing.
- Client
- VoiceChain UG i.Gr.
- Year
- Service
- Full-Stack Engineering, Voice Processing, Research
Market
Big Tech platforms like Spotify, YouTube, Instagram & Co. reproduce and distribute AI-generated voices en masse. Elevenlabs, resemble.ai clone/reproduce acoustic characteristics of a voice.
Why current solutions fail
Focus only on voiceprints → Pure voice biometrics too easily forgeable. Classic audio forensics is too slow and not real-time!
Multi-Factor-Authentication for voice
Voiceprint - Static acoustic feature extraction of individual voice characteristics – pattern recognition.
Human Voice - VoiceChain makes the voice a verifiable part of the digital identity. This allows distinguishing humans from AI and uniquely identifying speakers.
Use cases
Content Creator - Tamper-proof, unique verification of real voices forJournalists, influencers, podcasters.
Platforms and AI Agents - Creators can mark their voices as verified on platforms (Verify Badge). Voice as human-machine interface for AI agents (chatbots & Co.).
Voice Licensing - Transfer of usage rights.
Anti-Disinformation - Evidence for institutions and media authorities, banks, insurance companies.