Voice Identity Biometrics Exploitation Services (VIBES)

VIBES offers voice identity-enhanced analysis, providing information correlation, context, and timeliness for force protection.

The current force protection mission clearly demonstrates the importance of voice identity to tactical all-source correlation. Organizations responsible for force protection may receive reports based on data obtained by federal agencies, the Department of Defense, diplomatic missions, organic assets, or even open-source reporting. Although such reports are highly valued, they may not provide the necessary correlation, context, or timeliness that analysis enhanced by voice identity can bring to the force protection mission.

Voice Identity Biometrics Exploitation Services (VIBES) is a government initiative based on an accredited framework by Leidos. The framework permits the advanced speaker identification and data integration techniques related to voice identity to be rapidly operationalized to assess and interdict evolving threats. The VIBES approach to voice-enhanced tactical all-source analysis supports many choices across current and evolving voice enrollment, collection, speaker identification and data integration capabilities.


VIBES enables all-source correlation and cross-tipping in the tactical environment. Effective force protection methods must rapidly piece together relevant information from multiple communication networks and intelligence feeds in order to follow the right leads. VIBES, in conjunction with existing collection and analytical capabilities, accomplishes the requisite level of integration by checking that required voice services and products share the same standards-based, open architecture to provide:

  • Biometric enrollment or other voice collection technologies
  • Cleansing and formatting algorithms
  • Modeling algorithms
  • Search and matching algorithms
  • Voice data management
  • Watermarking, provenance
  • Voice feed and user profiles
  • Proactive dissemination
  • Easy-to-use application programming interface
  • Distributed storage
  • Secure data at rest and in transit through a comprehensive set of administration and management tools


  • Authoritative source for tactical voice identity suitable for multiple operational missions and environments
  • Supports a wide range of voice input sources and identifies specific voices within a collection, without regard to collection device, language, dialect, conversation content, or communication channels
  • Compatible with current and planned biometric voice enrollment and collection tools (BAT, SEEK, FUSION, HIIDE, Bio-Glasses)
  • Creates the tactical-level voice identity architecture in support of local operations
  • Supports biometrics-enabled watch lists and biometrics-enabled intelligence processes
  • Supports localized, easy-to-use, and tactically relevant sub-setting of voice data with a standardized model grouping capability
  • Supports cooperative and non-cooperative collection configurations
  • Scalable biometric voice matching to meet local commander's mission requirements
    • Standard interfaces and file types (EBTS compliant)
    • Multiple platforms (Windows® 7/Linux®/Android®)


Mitigating quickly evolving (asymmetric) threats requires timely and accurate intelligence on the activities of individuals at specific locations. Voice identity can provide specific knowledge of an individual adversary's disposition and intentions. Voice identity capabilities must be applied innovatively, rapidly, and meticulously to support all aspects of the force protection role: collection, investigations, operations, multidiscipline analysis, support to operational security, and counterintelligence. Employed as part of an overall force protection strategy, VIBES can provide the commander with unique information.

VIBES facilitates rapid integration of voice identity across all three of the levels required for all-source correlation and cross-tipping:

  • Cross-Channel Integration: Speaker's voice collected on one channel matched to voice samples from other channels; i.e., voice identity across multiple cooperative and non-cooperative voice collection devices
  • Multi-Mode Fusion: Speaker mapped to corresponding data from other biometric modes
  • All-Source Correlation: Speaker data driving the collection of non-biometric intelligence data

Windows is a registered trademark of Microsoft Corporation in the United States and other countries. Linux is a registered trademark of Linus Torvalds. Android is a trademark of Google Inc.

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