Computer Identification of Phonemes in Continuous Speech.

Abstract

An approach to computer recognition of continuous speech through phoneme identification is presented. Speech data is digitally processed through correlation, recognition, and location programs. Methods of phoneme prototype production were explored using multiple speaker discrete and average prototypes. The identification process presents a rank ordering of probable phonemic occurances at each time period. The method is used to attain an average recognition rate of 81% for discrete speech and 61% for continuous speech spoken by dissimilar speakers. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1978
Accession Number
ADA064058

Entities

People

  • Edward S. Kolesar Jr.
  • Gary L. Brock

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Cyber
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Charts
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Processing
  • Data Storage Systems
  • Ear
  • Electrical Engineering
  • Identification
  • Language
  • Network Protocols
  • Plastic Explosives
  • Signal Processing
  • Two Dimensional

Readers

  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design