AI Voice Biometrics Client Verification System

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Voice Biometrics Client Verification System
Complex
~1-2 weeks
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Development of AI Voice Biometrics Verification System

Voice biometrics replace secret questions and PINs for customer identification. User just speaks — system compares voice with stored reference. Used in banks, call centers, mobile apps.

System Architecture

  • Enrollment: register voice profile (3–5 recordings, 5–15 sec each)
  • Verification: compare new voice against enrollment samples
  • Anti-spoofing: detect synthetic voices
  • Speaker recognition: ECAPA-TDNN or similar model

Active vs Passive Biometrics

Active: user pronounces set phrase ("My voice is my password")

  • EER: 0.5–1.5%
  • High security

Passive: user speaks naturally during operator conversation

  • EER: 2–5%
  • More convenient, lower security

Requirements

Minimum audio length:

  • Enrollment: 5+ seconds per sample
  • Verification: 3+ seconds
  • Passive verification: 8+ seconds

Compliance

152-FZ "On Personal Data": voice biometric data is special category. Requires explicit consent, separate storage, right to deletion.

Timeline: biometric verification system — 6–8 weeks. With anti-spoofing and compliance — 3–4 months.