Experiments in Isolated Digit Recognition Using the Multi-Layer Perceptron,

Abstract

The multi-layer perceptron is investigated as a new approach to the automatic recognition of spoken isolated digits. The choice of the parameters for the multi-layer perceptron is discussed and experimental results are reported. A comparison is made with established techniques such as dynamic time-warping and hidden Markov modelling applied to the same data. The results, for this particular task, show that the recognition accuracy obtained using the multi-layer perceptron is comparable with that from using hidden Markov modelling.

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Document Details

Document Type
Technical Report
Publication Date
Dec 17, 1987
Accession Number
ADA192038

Entities

People

  • R. K. Moore
  • S. M. Peeling

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automated Speech Recognition
  • Classification
  • Computer Programs
  • Computer Science
  • Data Sets
  • Databases
  • Hidden Markov Models
  • Markov Models
  • Neural Networks
  • Probability
  • Probability Distributions
  • Recognition
  • Self Organizing Systems
  • Signal Processing
  • Test Sets

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Speech Processing/Speech Recognition.