External/Internal Data Fusion Testbed: History, Components and Experimental Analysis.

Abstract

Rome Laboratory (RL) has been performing Speech Processing Research and Development since the early sixties. Areas of research include Speech Recognition, Speaker Identification, Language Identification, Keyword Recognition, Platform Identification, and External/Internal (E/I) Data Fusion. This thesis describes in detail an experiment to optimize the weighting of external, internal and ELINT information using the RL E/I Data Fusion Testhed. Internals are RL audio processing functions, such as: Speaker and Language Identification. Externals are other information that can be obtained from the audio signal such as: Transmission Frequency, Direction, and Modulation type. ELINT is the process of observing radar signals to obtain information about their capabilities. This thesis also describes a series of experiments which can he performed on this Testbed. A preliminary experiment was designed and performed to determine the best set of externals for the Testbed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1995
Accession Number
ADA299957

Entities

People

  • John G. Parker

Organizations

  • Rome Laboratory

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Data Fusion
  • Formal Languages
  • Frequency
  • Identification
  • Language
  • Modulation
  • Platforms
  • Radar Signals
  • Recognition

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML