Speaker Verification Through Voice Prints
Voice Biometrics Research (AnyVoiceID)
Voice biometrics enable secure, frictionless authentication for contact centers, financial services, and healthcare.
Verification Latency
<500ms
End-to-end
Concurrent Verifications
10,000+
Horizontal scaling
Executive Summary
What we built
AnyVoiceID provides enterprise-grade voice biometric authentication using X-Vector deep neural networks and PLDA scoring — targeting <1% Equal Error Rate for secure, frictionless authentication.
Why it matters
Voice biometrics enable secure, frictionless authentication for contact centers, financial services, and healthcare. Eliminates knowledge-based authentication friction while maintaining security.
Results
- Target <1% Equal Error Rate (EER)
- Support 10,000+ concurrent verifications
- Process authentication in <500ms
- 95%+ anti-spoofing detection rate
Best for
- →Financial services authentication
- →Healthcare patient verification
- →Contact center caller authentication
- →Fraud prevention screening
Limitations
- Minimum 7 seconds speech for active enrollment
- Minimum 40 seconds for passive enrollment
- Quality threshold SNR >15 dB required
How It Works
A two-layer detection system where each covers the other's weaknesses.
Feature Extraction
MFCC and prosodic feature extraction
- Pre-emphasis, framing, windowing
- FFT and mel-filterbank processing
- 39-dimensional feature vectors (MFCC + Δ + ΔΔ)
X-Vector Engine
Deep neural network speaker embeddings
- TDNN layers with time-delay context
- Statistics pooling (mean + stddev)
- 512-dimensional x-vector output
Anti-Spoofing Module
Presentation attack detection
- Replay attack detection via acoustic analysis
- TTS synthetic voice marker detection
- Voice conversion spectral anomaly detection
Reliability & Rollout
How we safely deployed to production with continuous monitoring.
Rollout Timeline
Research Phase
X-Vector architecture and PLDA scoring
NWFCU Exploration
Financial services pilot for account access
Production Deployment
Multi-channel authentication
Live Monitoring
Safety Guardrails
Product Features
Ready for production with enterprise-grade reliability.
X-Vector DNN Architecture
Time-Delay Neural Network with 512-dimensional speaker embeddings.
Multiple Verification Modes
Text-dependent (passphrase), text-independent (free-form), and continuous verification.
Anti-Spoofing Protection
95%+ detection rate for replay attacks, TTS, and voice conversion.
Sub-500ms Verification
Feature extraction (30ms) + template matching (150ms) + anti-spoofing (100ms).
Enterprise Compliance
GDPR, CCPA, BIPA, and ISO/IEC 24745 compliance for biometric data protection.
AES-256 Encryption
Template storage encrypted at rest with HSM-based key management.
Integration Details
Runs On
Server (GPU) for DNN inference
Latency Budget
<500ms total verification
Providers
IVR, Contact Center, Mobile Platforms
Implementation
Multi-phase research and deployment
Frequently Asked Questions
Common questions about our voicemail detection system.
Ready to see this in action?
Book a technical walkthrough with our team to see how this research applies to your use case.