The Use of Linear Discriminant Analysis in the ARM Continuous Speech Recognition System

Abstract

Linear discriminant analysis is used to generate speech data transformations. This transformed data is then within the ARM continuous speech recognition system. Experiments are described using transformed data in conjunction with variable frame rate analysis and word transition penalties. Speaker independent results are reported which are as good as the best obtained previously using cosine transformations and variable frame rate analysis. The two sets of results are compared and commented on.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA247864

Entities

People

  • K. M. Ponting
  • S. M. Peeling

Organizations

  • Royal Signals and Radar Establishment

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Classification
  • Coefficients
  • Data Rate
  • Data Reduction
  • Data Sets
  • Discriminant Analysis
  • Discrimination
  • Dynamic Programming
  • Errors
  • Filters
  • Hidden Markov Models
  • Markov Models
  • Models
  • Recognition
  • Test Sets
  • Word Recognition

Fields of Study

  • Engineering

Readers

  • Regression Analysis.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML