Speech Perception as a Cognitive Process: The Interactive Activation Model.

Abstract

In this paper we describe several attempts to model speech perception in terms of a processing system in which knowledge and processing is distributed over large numbers of highly interactive -- but computationally primitive -- elements, all working in parallel to jointly determine the result of the perceptual process. We begin by discussing the properties of speech which we feel demand a parallel interactive processing system, and then review previous attempts to model speech perception, both psycholinguistic and machine-based. We then present the results of a computer simulation of one version of an interactive activation model of speech, based loosely on Marslen-Wilson's COHORT model. One virtue of the model is that it is capable of word recognition and phonemic restoration without depending on preliminary segmentation of the input into phonemes. However, this version of the model has several deficiencies -- among them are excessive sensitivity to speech rate and excessive dependence on accurate information about the beginnings of words. To address some of these deficiencies, we describe an alternative called the TRACE model. In this version of the model, interactive activation processes take place within a structure which serves as a dynamic working memory. This structure permits the model to capture contextural influences in which the perception of a portion of the input stream is influenced by what follows it as well as what preceeds it in the speech signal. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1983
Accession Number
ADA128787

Entities

People

  • James McClelland
  • Jeffrey L. Elman

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • California
  • Cognition
  • Cognitive Science
  • Computer Simulations
  • Computers
  • Content Addressable Memory
  • Detection
  • Detectors
  • Digital Computers
  • Language
  • Linguistics
  • Military Research
  • Nervous System
  • Psychology
  • Recognition
  • Word Recognition

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.