The TRACE Model of Speech Perception.

Abstract

The model is based on the principles of interactive activation. Information processing takes place through the excitatory and inhibitory interactions of a large number of simple processing units, each working continuously to update its own activation on the basis of the activations of other units to which it is connected. The model is called the TRACE model because the network of units forms a dynamic processing structure called the Trace, which serves at once as the perceptual processing mechanism and as the system's working memory. The model is instantiated in two simulation programs. TRACE I, described in detail elsewhere, deals with short segments of real speech, and suggests a mechanism for coping with the fact that the cues to the identity of phonemes vary as a function of context. TRACE II, the focus of this article, simulates a large number of empirical findings on the perception of phonemes and words and on the interactions of phoneme and word perception. At the phoneme level, TRACE II simulates the influence of lexical information on the identification of phonemes and accounts for the fact that lexical effects are found under certain conditions but not others. The model also shows how knowledge of phonological constraints can be embodied in particular lexical items, but can still be used to influece processing of novel, nonword utterances. The model also exhibits categorical perception and the ability to trade cues off against each other in phoneme identification.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1984
Accession Number
ADA157550

Entities

People

  • J. L. Elman
  • James McClelland

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Speech Recognition
  • Cognition
  • Cognitive Science
  • Computer Languages
  • Computer Programming
  • Computer Vision
  • Computers
  • Governments
  • Information Processing
  • Language
  • Linguistics
  • Military Research
  • Psychology
  • Recognition
  • Social Sciences

Readers

  • Computational Linguistics
  • Parallel and Distributed Computing.
  • Speech Processing/Speech Recognition.