HyperDeteX
$DTX TOKEN
The first decentralized platform that rewards users for training AI to detect synthetic voices in real-time.
CONTRIBUTE VOICE DATA
Submit real & AI voice samples
EARN $DTX TOKENS
Get rewarded for your contributions
SECURE THE NETWORK
Help protect against voice fraud
VOICE AI ACTIVITY DETECTORDEMO
Test our AI detection technology by recording your voice, uploading an audio sample, or using our pre-recorded examples. Help us train the model and earn $DTX TOKENs.
This is a demonstration preview. Voice analysis and detection features are simulated for illustration purposes.
Record your voice or upload an audio sample
Live recordings: Maximum 15 seconds, automatically optimized for human voice detection
This is a technology demonstration only. Analysis results are simulated and do not represent actual AI voice detection.
The final product will include advanced neural network analysis and real-time detection capabilities.
TIERED REMUNERATION
Our token-based reward system incentivizes quality contributions and long-term participation in the HyperDeteX ecosystem.
DTX per contribution
DTX per contribution
DTX per contribution
How Tier Progression Works
Your reward tier is automatically determined by your DTX token holdings. As you earn and hold more tokens, you'll progress to higher tiers with better rewards and privileges.
USER DASHBOARD
Track your contributions, monitor your rewards, and test our AI detection technology through our comprehensive dashboard.
VOICE AI DETECTION OVERVIEW
Real-time monitoring of your voice detection contributions
Voice Samples
247
AI Tests Passed
1,458
Live Detection Status
ACTIVEVoice Analysis Metrics
Recent Voice Detections
Human Voice
2m ago
AI Generated
5m ago
Human Voice
8m ago
Challenge Mode Progress
EXPERTTECHNICAL ANALYSIS
Our advanced algorithms analyze subtle acoustic patterns to differentiate between human and AI-generated voices with high precision.
Human Voice Spectrogram
AI Voice Spectrogram
Key Detection Points
Notice the differences in formant stability (F1-F3), harmonic richness, and micro-variations. AI voices typically show more regular patterns and lack the natural variations present in human speech.
Voice Frequency Analysis
Our neural networks analyze over 128 acoustic features to identify synthetic speech patterns that are imperceptible to the human ear.
Formant Stability
HUMAN VOICE
Natural variations in formant frequencies
AI VOICE
Unnaturally stable formant patterns
Harmonic Structure
HUMAN VOICE
Rich, complex harmonics with natural decay
AI VOICE
Simplified harmonic patterns with uniform decay
Micro-variations
HUMAN VOICE
Natural micro-variations in pitch and timing
AI VOICE
Reduced or mechanical micro-variations
Sound Transitions
HUMAN VOICE
Smooth, natural transitions between sounds
AI VOICE
Abrupt or unnatural sound transitions
Our neural network is constantly evolving thanks to community contributions. Currently trained on 4,300 voice samples (2,500 human, 1,800 AI), it achieves 87.5% accuracy. Our goal is to reach 95% through continuous data collection.
DECENTRALIZED DATA COLLECTION
Our network collects voice samples from thousands of decentralized sources to continuously train and improve our central AI detection model.
User Contributions
Individual users contribute voice samples through our platform, earning DTX tokens for each verified contribution.
- Submit voice samples through our secure portal
- Earn DTX tokens for each verified contribution
- Help improve AI detection accuracy with diverse samples
API Integrations
Third-party services and telecom providers integrate with our API to submit voice samples for analysis and verification.
- Secure REST API for enterprise integration
- Real-time voice analysis with low latency
- Webhook notifications for detection events
IoT Devices
Smart devices and IoT systems can be configured to detect and submit suspicious voice patterns for analysis.
- Smart home devices with voice detection capabilities
- Edge processing for privacy-preserving analysis
- Low-power implementation for battery-operated devices
$DTX TOKENOMICS
Our token distribution is designed to reward community participation and ensure long-term project sustainability
TOKEN ALLOCATION
100%
TOTAL
Contribution Rewards
40%
Development
20%
Team & Advisors
15%
Liquidity
10%
Marketing
10%
Reserve
5%
- ›15-50 DTX per verified voice sample (based on contributor tier)
- ›35-50 DTX for high-quality samples that improve model accuracy
PROJECT ROADMAP
Our strategic plan to revolutionize voice AI detection and create a secure telecommunications future
FOUNDATION
- ›Core team formation
- ›Whitepaper release
- ›Community building
DEVELOPMENT
- ›Voice AI detection algorithm v0.1
- ›Initial token distribution
- ›Web platform beta launch
- ›Initial data collection
- ›Strategic partnerships
EXPANSION
- ›Mobile app development
- ›Algorithm v2 with 95%+ accuracy
- ›Telecom integration pilots
- ›Governance protocol implementation
MASS ADOPTION
- ›Global telecom partnerships
- ›Real-time detection API
- ›Enterprise solutions
- ›Decentralized governance