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MATCH (Multimodal AcousTic Characterization of Hoax calls) a System for Hoax Maritime Distress Call Detection

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: 70RSAT22C00000043
Agency Tracking Number: 22.1 DHS221-001-0023-I
Amount: $149,336.35
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHS221-001
Solicitation Number: 22.1
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-05-05
Award End Date (Contract End Date): 2022-10-04
Small Business Information
601 Hutton Street, Suite 109
Raleigh, NC 27606-6322
United States
DUNS: 148551653
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Doug Cairns
 Chief Engineer
 (919) 341-8241
Business Contact
 Aaron Walker
Title: CEO
Phone: (919) 341-8241
Research Institution

Vadum will develop MATCH (Multimodal AcousTic Characterization of Hoax calls) a novel machine learning (ML) system to automatically and accurately detect deception in maritime Search and Rescue (SAR) audio distress calls and aid Coast Guard watchstanders in disambiguating hoaxes from legitimate calls. MATCH will substantially alleviate the burden on Coast Guard watchstanders by continuously monitoring the VHF distress channel for traffic, analyzing detected distress calls, and issuing warnings and alerts when hoax calls are present.MATCH will incorporate expert-identified and learned features that profile the acoustic signature of the caller, lexical traits, and characteristics of the acoustic scene (background environment) to confirm or invalidate the authenticity of the distress call.Legitimate distress calls typically happen in a specific acoustic scene.MATCH will utilize a novel classifier to recognize and validate legitimate acoustic scenes. The multi-mode multi-feature nature of the MATCH architecture will accommodate variances in regional dialects and accents and be expandable to include additional features representative of intoxicated mariners. The MATCH solution is adaptable to other domains such as 911 call centers, law enforcement agencies and commercial voice phishing attack mitigation.

* Information listed above is at the time of submission. *

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