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 including single and multiple speaker discrete and averaged prototypes. The identification process presents a rank ordering of probable phonemic occurrances at each time period. The method is used to attain an average recognition rate of 72% on continuous speech spoken by dissimilar speakers. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1977
Accession Number
ADA053268

Entities

People

  • Michael F. Guyote
  • Patrick L. Sisson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Authentication
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Processing
  • Databases
  • Diagrams
  • Ear
  • Electrical Engineering
  • Identification
  • Information Processing
  • Numbers
  • Plastic Explosives
  • Recognition
  • Signal Processing

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.
  • Speech Processing/Speech Recognition.