๐ง Revolutionary Neurotechnology Research
Turn Speech Into Memory
AI-driven audio-neural interface that transforms neutral speech into prosodic, memorable formats using real-time EEG feedback. Helping people with memory challenges retain information better.
๐จ The Problem
- Flat speech = poor memory: Neutral/monotone speech is weakly encoded; details are lost
- Daily impact: Missed instructions, reduced independence for people with memory difficulties
- Universal challenge: Stress, noise, and fatigue hurt recall for everyone
๐ก Our Solution
- Real-time transformation: Neutral โ prosodic speech while preserving meaning
- AI-guided prosody: LLM selects optimal rhythm/intonation at phrase boundaries
- Neural feedback: EEG signals personalize processing based on cognitive state
๐ง Why It Works
- Memory scaffolding: Rhythm and intonation provide timing cues that improve encoding + recall
- Everyday proof: Rhymes & chants ("one, two, buckle my shoe") stick better than flat speech
- Clinical evidence: Alzheimer's patients remember sung/prosodic material more reliably than neutral speech
๐ ๏ธ Development Roadmap
- R&D Prosody Engine: High-speed streaming LLM
- Bench Test latency, intelligibility, and quality
- Hardware ฮฑ Ear-level prototype with embedded AI
- Pilot Study Memory gains, usability, acceptability
- Verification Ethics, IP, and standards pathway
Live Demo Examples
"Experience the difference prosodic speech makes. These examples show how we transform everyday instructions into memorable, rhythmic formats."
Technical Innovation
Unlike conventional hearing aids or passive tools, our system creates a closed-loop interaction between speech processing and brain activity, directly influencing memory encoding efficiency.
The AI-driven prosody engine analyzes incoming speech in real-time, identifying key phrases and transforming them into rhythmically structured formats that are easier for the brain to encode and recall.
Ear-EEG sensors provide continuous feedback about the user's cognitive state, allowing the system to personalize the prosodic transformations based on attention levels, stress, and individual learning patterns.
Key Features
- ๐ฏ Content-equivalent transformation
- โก Sub-100ms processing latency
- ๐ง Real-time EEG adaptation
- ๐ต Rhythm & rhyme optimization
- ๐ Earplug-based deployment
- ๐ง Personalized to user patterns
Research Impact
๐ฅ Clinical Applications
Transformative potential for Alzheimer's patients, MCI sufferers, and older adults experiencing memory decline. Early studies show prosodic speech significantly improves recall in clinical populations.
๐ Educational Enhancement
Students and professionals can benefit from enhanced learning and information retention during lectures, meetings, and training sessions.
๐ Broader Impact
Universal technology that helps anyone struggling with information overload, stress-related memory issues, or attention challenges in noisy environments.
Get Involved
๐ค Research Collaboration
Interested in partnering on this groundbreaking neurotechnology research? We're seeking collaborators in neuroscience, AI, and clinical applications.
๐ View Full Research
Detailed poster, research summary, and technical Q&A available. Perfect for academic conferences and funding applications.
Download Poster PDF๐ต Experience the Technology
Listen to live examples of prosodic transformations and understand how rhythm enhances memory encoding.
Hear Examples