Voice
Detection
Real-time identification of AI-cloned voices, synthetic speech, and audio manipulation — protecting call centers and voice authentication systems.
Unlike voice biometrics that compare samples to enrolled recordings, FalsiFind detects generation artifacts regardless of how well the synthetic voice matches the real person.
import { FalsiFind } from '@falsifind/sdk';
const stream = new FalsiFind.VoiceStream({
apiKey: process.env.FALSIFIND_KEY,
sampleRate: 16000,
codec: 'opus'
});
// Real-time voice analysis
stream.on('detection', (result) => {
if (result.synthetic > 0.9) {
console.log('Synthetic voice detected');
alertFraudTeam(result.callId);
}
});
// Stream audio from call
audioSource.pipe(stream);How Voice Detection Works
Advanced AI technology analyzes multiple acoustic dimensions to distinguish human speech from synthetic audio.
Acoustic Feature Analysis
Multi-model approach analyzes acoustic features that indicate synthetic generation. Spectral patterns, temporal consistency, and micro-variations that distinguish human speech from AI-generated audio.
Real-Time Streaming
WebSocket-based streaming analyzes audio continuously during live calls. Detection alerts fire with low latency, enabling intervention before account modifications complete.
Generation-Agnostic Detection
Detects synthetic speech regardless of the AI model used to generate it. Our approach identifies generation artifacts rather than fingerprinting specific tools.
Noise-Robust Processing
Advanced signal processing handles real-world telephony conditions including background noise, compression artifacts, and variable audio quality.
Technical Specifications
Enterprise-grade performance designed for production telephony environments.
Detection Performance
Low-latency detection during active calls
Across synthetic voice generation methods
Minimal disruption to legitimate callers
Audio Support
Telephony through studio quality
Standard telephony and VoIP formats
Single and dual-channel analysis
Integration
Streaming audio for real-time analysis
Async analysis for recorded audio
API response time (excluding audio)
Integration Points
Voice Detection integrates with your existing call center infrastructure via WebSocket streams and REST APIs. No changes to agent desktops or IVR flows required.
WebSocket Streaming
wss://api.falsifind.com/v1/voice/streamReal-time audio analysis during live calls
REST API
POST /v1/voice/analyzeBatch analysis for recorded audio files
Webhook Events
voice.detection.syntheticReal-time alerts to your systems
Supported Platforms
Custom integrations available for proprietary systems
Use Cases Across Industries
Voice Detection applies across financial services contexts with industry-specific implementations.
Call Center Authentication
Detect voice-cloned account takeover attempts during customer service calls. Alert agents to synthetic speech before credential resets or fund transfers complete.
Support Team Protection
Protect lean support teams from social engineering attacks. Provide objective risk scoring that supplements limited fraud training resources.
High-Value Authorization
Verify voice authorization for withdrawal requests and security setting changes. Critical protection for irreversible cryptocurrency transactions.
Technical Documentation
Everything you need to integrate Voice Detection into your systems.
Frequently Asked Questions
Common questions from fraud, security, and contact-center teams evaluating voice deepfake detection.
Key terminology
Definitions of the threats and defenses discussed on this page.