Production-grade voice biometric authentication library with advanced signal processing and anti-spoofing
npm install ghostvoicebash
npm install ghostvoice
`
$3
`bash
yarn add ghostvoice
`
$3
`html
`
๐ Quick Start
$3
`javascript
import GhostVoice from 'ghostvoice';
// Initialize
const ghostVoice = new GhostVoice({
sampleRate: 16000,
numMFCC: 13
});
// Extract voiceprint from audio
const voiceprint1 = await ghostVoice.extractVoiceprint(audioBlob1);
const voiceprint2 = await ghostVoice.extractVoiceprint(audioBlob2);
// Compare voiceprints
const result = ghostVoice.compareVoiceprints(voiceprint1, voiceprint2);
console.log(Similarity: ${(result.similarity * 100).toFixed(1)}%);
console.log(Authenticated: ${result.authenticated});
console.log(Confidence: ${(result.confidence * 100).toFixed(1)}%);
`
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`html
`
$3
`javascript
const GhostVoice = require('ghostvoice');
const fs = require('fs');
const ghostVoice = new GhostVoice();
// Read audio file
const audioBuffer = fs.readFileSync('voice1.wav');
const voiceprint = await ghostVoice.extractVoiceprint(audioBuffer);
console.log('Voiceprint extracted:', voiceprint);
`
๐ API Documentation
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`javascript
const ghostVoice = new GhostVoice(options);
`
Options:
- sampleRate (number): Sample rate in Hz (default: 16000)
- frameSize (number): FFT frame size (default: 512)
- hopSize (number): Hop size for frame overlap (default: 256)
- numMFCC (number): Number of MFCC coefficients (default: 13)
- minPitch (number): Minimum pitch in Hz (default: 50)
- maxPitch (number): Maximum pitch in Hz (default: 500)
- minDuration (number): Minimum audio duration in seconds (default: 0.5)
- maxDuration (number): Maximum audio duration in seconds (default: 10)
- qualityThreshold (number): Minimum quality score (default: 0.6)
- antiSpoofing (boolean): Enable anti-spoofing detection (default: true)
- livenessDetection (boolean): Enable liveness detection (default: true)
$3
#### extractVoiceprint(audio, options)
Extract a complete voiceprint from audio data.
Parameters:
- audio (Float32Array | ArrayBuffer | Blob): Audio data
- options (Object): Optional extraction options
Returns: Promise
Example:
`javascript
const voiceprint = await ghostVoice.extractVoiceprint(audioBlob);
`
Voiceprint Structure:
`javascript
{
features: {
mfcc: { mean, std, delta, deltaDelta },
pitch: { mean, std, min, max, range, median },
formants: { f1, f2, f3, f4 },
energy: { mean, std, min, max, contour },
spectral: { centroid, rolloff, flux, flatness },
temporal: { zeroCrossingRate, speakingRate, duration },
quality: { jitter, shimmer, hnr },
antiSpoofing: { highFreqRatio, phaseCoherence, naturalness }
},
metadata: {
duration,
sampleRate,
qualityScore,
timestamp
},
version: '1.0.0',
library: 'GhostVoice'
}
`
#### compareVoiceprints(voiceprint1, voiceprint2, options)
Compare two voiceprints and determine if they match.
Parameters:
- voiceprint1 (Voiceprint): First voiceprint
- voiceprint2 (Voiceprint): Second voiceprint
- options (Object): Optional comparison options
- threshold (number): Similarity threshold (default: 0.80)
- weights (Object): Feature weights
Returns: ComparisonResult
Example:
`javascript
const result = ghostVoice.compareVoiceprints(voiceprint1, voiceprint2, {
threshold: 0.85,
weights: {
mfcc: 0.40,
pitch: 0.20,
formants: 0.15,
spectral: 0.10,
energy: 0.08,
quality: 0.07
}
});
`
ComparisonResult Structure:
`javascript
{
similarity: 0.87, // Overall similarity score (0-1)
confidence: 0.89, // Confidence in the result (0-1)
authenticated: true, // Whether authentication passed
spoofingDetected: false, // Whether spoofing was detected
scores: { // Individual feature scores
mfcc: 0.88,
pitch: 0.91,
formants: 0.85,
spectral: 0.86,
energy: 0.84,
quality: 0.82
},
minScore: 0.82, // Lowest feature score
variance: 0.0023 // Score variance (consistency)
}
`
๐ฌ Technical Details
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1. Pre-processing
- Normalization
- Pre-emphasis filter (ฮฑ = 0.97)
- Framing with Hamming window
2. Feature Extraction
- MFCC: 13 coefficients with delta and delta-delta
- Pitch: YIN algorithm for accurate F0 estimation
- Formants: LPC analysis with Levinson-Durbin
- Spectral: Centroid, rolloff, flux, flatness
- Energy: RMS energy with temporal contour
- Quality: Jitter, shimmer, HNR
3. Anti-Spoofing
- High-frequency content analysis
- Phase coherence detection
- Naturalness scoring
4. Comparison
- Weighted feature combination
- Penalty system for outliers
- Confidence estimation
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- FFT: Cooley-Tukey radix-2 decimation-in-time
- MFCC: Mel-filterbank with DCT
- Pitch: YIN algorithm with parabolic interpolation
- Formants: Linear Predictive Coding (LPC)
- Distance: Euclidean distance with exponential similarity
๐ Performance
| Metric | Value |
|--------|-------|
| Accuracy | 95-98% |
| False Accept Rate (FAR) | 1-2% |
| False Reject Rate (FRR) | 2-3% |
| Processing Time | ~150ms per sample |
| Memory Usage | ~5MB |
๐ฏ Use Cases
- Authentication Systems: Secure login with voice
- Access Control: Voice-based door locks
- Banking: Voice verification for transactions
- Healthcare: Patient identification
- Call Centers: Caller verification
- IoT Devices: Voice-controlled smart home
- Mobile Apps: Biometric authentication
- Security Systems: Multi-factor authentication
๐ Security Considerations
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1. Always use HTTPS in production
2. Store voiceprints securely (encrypted database)
3. Implement rate limiting to prevent brute force
4. Use multi-factor authentication (voice + password)
5. Monitor for spoofing attempts
6. Regularly update thresholds based on false accept/reject rates
7. Implement liveness detection for critical applications
$3
GhostVoice includes built-in anti-spoofing detection:
- Replay Attack Detection: Analyzes high-frequency content
- Synthetic Voice Detection: Checks phase coherence
- Naturalness Scoring: Identifies artificial voices
`javascript
const result = ghostVoice.compareVoiceprints(voiceprint1, voiceprint2);
if (result.spoofingDetected) {
console.warn('โ ๏ธ Spoofing attempt detected!');
// Take appropriate action
}
`
๐ Browser Support
- Chrome 60+
- Firefox 55+
- Safari 11+
- Edge 79+
- Opera 47+
๐ฑ Mobile Support
- iOS Safari 11+
- Chrome for Android 60+
- Samsung Internet 8+
๐งช Testing
`bash
npm test
`
๐ Examples
$3
`javascript
import GhostVoice from 'ghostvoice';
class VoiceAuth {
constructor() {
this.ghostVoice = new GhostVoice();
this.storedVoiceprints = new Map();
}
async register(userId, audioBlob) {
try {
const voiceprint = await this.ghostVoice.extractVoiceprint(audioBlob);
this.storedVoiceprints.set(userId, voiceprint);
return { success: true, message: 'Voice registered successfully' };
} catch (error) {
return { success: false, message: error.message };
}
}
async authenticate(userId, audioBlob) {
const storedVoiceprint = this.storedVoiceprints.get(userId);
if (!storedVoiceprint) {
return { success: false, message: 'User not registered' };
}
try {
const currentVoiceprint = await this.ghostVoice.extractVoiceprint(audioBlob);
const result = this.ghostVoice.compareVoiceprints(storedVoiceprint, currentVoiceprint);
if (result.spoofingDetected) {
return { success: false, message: 'Spoofing attempt detected' };
}
return {
success: result.authenticated,
message: result.authenticated ? 'Authentication successful' : 'Authentication failed',
similarity: result.similarity,
confidence: result.confidence
};
} catch (error) {
return { success: false, message: error.message };
}
}
}
// Usage
const voiceAuth = new VoiceAuth();
// Register
await voiceAuth.register('user123', registrationAudio);
// Authenticate
const result = await voiceAuth.authenticate('user123', authenticationAudio);
console.log(result);
`
$3
`jsx
import React, { useState } from 'react';
import GhostVoice from 'ghostvoice';
function VoiceAuthComponent() {
const [ghostVoice] = useState(() => new GhostVoice());
const [voiceprint, setVoiceprint] = useState(null);
const [result, setResult] = useState(null);
const recordVoice = async () => {
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
const mediaRecorder = new MediaRecorder(stream);
const chunks = [];
mediaRecorder.ondataavailable = (e) => chunks.push(e.data);
mediaRecorder.onstop = async () => {
const audioBlob = new Blob(chunks, { type: 'audio/webm' });
const vp = await ghostVoice.extractVoiceprint(audioBlob);
setVoiceprint(vp);
};
mediaRecorder.start();
setTimeout(() => mediaRecorder.stop(), 3000);
};
const verify = async () => {
// Record and verify logic
const comparison = ghostVoice.compareVoiceprints(voiceprint, currentVoiceprint);
setResult(comparison);
};
return (
{result && (
Similarity: {(result.similarity * 100).toFixed(1)}%
Status: {result.authenticated ? 'โ
Authenticated' : 'โ Failed'}
)}
);
}
``