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Vault IDVoice

Function:

Text‑Independent Voice Verification Engine

Built For:

Digital Onboarding, Call Centers & App Authentication

Highlights:

Language‑Agnostic, Noise‑Robust, Continuous & Passive Liveness

Integration:

Mobile, Web, IVR, SDK, REST API

Deployment:

iOS, Android, Linux, Windows, Docker & Embedded

Vault IDVoice

Seamless, Speaker‑Level Identity Verification with AI‑Powered Voice Matching.

Vault IDVoice provides robust, text‑independent voice authentication—even in noisy environments—without forcing users into scripted passphrases.

  • Text‑Independent & Text‑Dependent Options
  • Continuous Verification in IVR & Live Calls
  • Passive Voice Liveness Integration
  • Ultra‑Low Latency & Small Footprint

Designed for high-security applications—from banking IVRs to app logins—Vault IDVoice leverages advanced deep learning and x-vector models to identify speakers reliably. Whether a user speaks freely or uses a passphrase, the system captures live voiceprints, resists spoofing with integrated liveness detection, and delivers sub-150 ms response times on mobile or cloud platforms.

01 . The Challenge

Traditional voice verification often fails in real-world conditions—background noise, channel variability, and voice cloning threaten accuracy. Text-dependent systems require scripted phrases, while active liveness steps frustrate users and reduce adoption.

02 . The Solution

Vault IDVoice combines flexible voice verification modes with embedded passive liveness to silence fraud attempts—no playback or deepfake can slip through. It works continuously during natural conversation or authentication prompts, adapts to any language, and runs efficiently across platforms, safeguarding identity without interrupting user flow.

Vault IDVoice Demo 1
Vault IDVoice Demo 2
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