# Speaker Recognition

Speaker recognition is the AI technology that identifies or verifies a person's identity based on the unique acoustic characteristics of their voice — a form of biometric authentication. It encompasses speaker verification (confirming the voice matches a claimed identity) and speaker identification (determining who among known speakers is speaking). In contact centres, passive voice biometric authentication allows AI Agents to verify a caller's identity through natural conversation without requiring PINs or security questions. This reduces friction significantly compared to knowledge-based authentication, while maintaining strong security. Speaker recognition also powers speaker diarisation in multi-party call transcription.

For enterprise teams, Speaker Recognition matters because real-world outcomes depend on how the capability is integrated, governed, and measured — not just on the underlying technology. This reduces friction significantly compared to knowledge-based authentication, while maintaining strong security.

## Key Points

- Identifies or verifies identity from unique acoustic voice characteristics — voice biometrics
- Passive authentication verifies callers naturally during conversation — no PINs required
- Dramatically reduces authentication friction versus knowledge-based security questions
- Also used for speaker diarisation — attributing speech to individual speakers in transcripts
- Integrates with NiCE Cognigy voice flows for secure, frictionless customer authentication

### See how it works in action

- [Watch the demo](https://www.youtube.com/watch?v=U87psHIQF3w)
- [Speak with an expert](/content/contact-us/index.html)
- [Explore Solutions](/content/solutions/ai-agents/index.html)
- [Explore Platform](/content/platform/cognigy-ai/index.html)