Proposal: Authenticated Speech-Based Inebriation Detection with SoundLinks

Executive Summary

We propose integrating state-of-the-art speech-based inebriation detection with SoundLinks' SDID (Sound Decentralized Identifier) protocol. This system leverages an individual's authenticated, cryptographically signed "sober baseline" voice as a reference for real-time impairment checks, enabling secure, privacy-preserving, and highly accurate detection of intoxication.

Innovation & Technical Feasibility

• Baseline Authentication: SoundLinks SDID embeds a tamper-proof, inaudible digital identity in audio, already proven for secure communications, digital signatures, and automotive access.
• Impairment Detection: Machine learning models compare live speech to the authenticated baseline, analyzing features like slurring, pitch, and articulation—techniques validated in recent research with up to 98% accuracy in controlled settings.
• Process Flow:
  1. Enrollment: User records a standard phrase while sober; SoundLinks anchors this sample to their DID.
  2. Verification: At checkpoints (e.g., before driving, entering secure areas), the system verifies identity with SoundLinks and compares the new sample to the baseline for signs of impairment.
  3. Auditability: All samples and results can be cryptographically logged for compliance and legal review.

Unique Fit & Benefits

• Security: Only the user's authenticated baseline is used, preventing spoofing or substitution.
• Accuracy: Personalized comparison reduces false positives from natural voice variation.
• Privacy: No central biometrics database; all verification is user-centric and can be performed offline.
• Auditability: Blockchain and cryptographic logs provide robust compliance and transparency.
• Scalability: SoundLinks' platform-agnostic, low-bandwidth, and blockchain-linked architecture is proven in demanding real-world deployments.

Use Cases

• Automotive: Pre-drive impairment checks, keyless entry with voice authentication.
• Workplace Safety: Access control for safety-critical roles.
• Healthcare: Remote patient monitoring, telemedicine compliance.
• Public Safety: Law enforcement and event security.

Next Steps

• Technical workshop to define integration points (SoundLinks SDK + speech analysis pipeline).