Implementation of a Real-Time, Interactive, Continuous Speech Recognition System.

Abstract

This thesis describes a speech recognition system designed and implemented to recognize continuous speech in a real time environment (after training). Several techniques were incorporated to characterize phonemes as vectors in space. Through the use of distance rules it was possible to characterize words by a phoneme representation, which could subsequently be used in word recognition. This approach to speech recognition offers several possibilities for future investigations such as varying the Minkowski distances and applying clustering techniques. The algorithm developed was modularized on a hierarchical basis and was user friendly. Additional keywords: software design; computer applications; computer programs; Fortran. (Author).

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1984
Accession Number
ADA151936

Entities

People

  • K. R. Dixon

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Air Force
  • Algorithms
  • Ambient Noise
  • Artificial Intelligence
  • Automated Speech Recognition
  • Automatic Gain Control
  • Computer Programs
  • Computers
  • Electrical Engineering
  • Engineering
  • Operating Systems
  • Pattern Recognition
  • Recognition
  • Signal Processing
  • User Friendly
  • Word Recognition

Fields of Study

  • Computer science

Readers

  • Computer Science.
  • Graph Algorithms and Convex Optimization.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • Space