Alpha/Numeric Extraction Technique

Abstract

This report describes the design, principles of operation and performance characteristics of an Advanced Development Model of a limited- vocabulary word recognition system. This system is intended to be used as an interface between a cartographic operator and a digitizing computer to allow voice entry of bathometric depth data from smooth sheets. The system is intended to accommodate a 15-word vocabulary, typically 10 digits and five control words. The system can store voice characteristics for six to eight operators. By the use of a numeric display located on the digitizing table cursor, the operator using the system can verify that each data digit spoken into the system has been correctly recognized. Data can then either be corrected, or if correct, entered into the digitizing system by the use of spoken control words. This cartographic word recognition system is based upon the Threshold Technology, Inc. (TTI) commercial VIP-100 isolated-word recognition system. The VIP-100 can be automatically adapted on-line for individual speakers and/or words. The principal speech recognition modules of the VIP-100 are a speech preprocessor designed and manufactured by TTI and a general purpose minicomputer running with TTI designed software. For this contract, RADC furnished as GFE, a Data General Nova 1200 minicomputer with 8K memory to be included in the system.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1975
Accession Number
ADB008303

Entities

People

  • Phillips B. Scott

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Automated Speech Recognition
  • Boundaries
  • Computers
  • Detectors
  • Diagrams
  • Failure Mode And Effect Analysis
  • Feature Extraction
  • Frequency
  • Pattern Recognition
  • Recognition
  • Reliability
  • Spectra
  • Spectrum Analyzers
  • Standards
  • Test And Evaluation
  • Word Recognition

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation