Automatic Classification of Languages

Abstract

Studies were made of language classification algorithms which were based on the recurrence frequencies of sequences of phoneme-like sound segments. Sequences of length 2, 3, 4 and 5 were considered. The sequence recurrences comprised acceptances of acoustic hypotheses, which in turn are based on a time- frequency scanning error measure, and on occurrence time relationships. Classification performance was estimated using 50 independent test speakers of five languages. Individual language accuracies ranged from 17 to 90 percent, with the overall five-language accuracy being 70 percent.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1975
Accession Number
ADB008708

Entities

People

  • George R. Doddington
  • R. G. Leonard

Organizations

  • Texas Instruments

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Automatic
  • Classification
  • Data Processing
  • Databases
  • Detection
  • Errors
  • Frequency
  • Hypotheses
  • Information Science
  • Language
  • Probability
  • Scanning
  • Security
  • Sequences
  • Test And Evaluation

Readers

  • Mathematical Modeling and Probability Theory.
  • Speech Processing/Speech Recognition.