SOUND RECOGNITION IN A NEURAL NETWORK.

Abstract

The sound patterns for eight sustained phonemes are used as input to a single-level network of eight Steele neuromimes. Each pattern is a loudness (neuron firing rate) versus frequency representation of the output from the cochlear section of an electrical analog of the ear. Recognition of a pattern occurs when one of the eight outputs of the network, as designated, becomes greater than all the rest. To meet the requirement for recognition, the learning process involves a matrix transformation that allows the elements of the matrix to change. The transformation used was 20, the dimensionality of each pattern, to 8, the dimensionality of the network output. The network, after careful selection of network parameters, achieved continuous recognition for three consecutive cycles of the eight patterns. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1965
Accession Number
AD0622988

Entities

People

  • Leon Dale Minard Jr.

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Firing Rate
  • Frequency
  • Learning
  • Loudness
  • Neural Networks
  • Recognition

Readers

  • Auditory Neuroscience/Auditory Physiology.
  • Neural Network Machine Learning.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks