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Related Experiment Video

Updated: Jun 6, 2025

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
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Why might there be lexical-prelexical feedback in speech recognition?

Dennis Norris1, James M McQueen2

  • 1MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

Cognition
|December 1, 2024
PubMed
Summary

Online activation feedback does not improve human word recognition. Computational models like TRACE are suboptimal, and empirical data do not support this feedback mechanism for spoken word recognition.

Keywords:
Bayesian modelsComputational modelsLanguage processingLexical effectsSpoken word recognition

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Auditory Perception

Background:

  • The TRACE model (McClelland & Elman, 1986) incorporates on-line activation feedback, simulating top-down processing in spoken word recognition.
  • Magnuson et al. (2023) concluded that this feedback mechanism enhances word recognition, citing computational and empirical evidence.

Purpose of the Study:

  • To challenge the conclusion that on-line activation feedback improves human word recognition.
  • To re-evaluate the computational and empirical evidence regarding activation feedback in spoken word recognition.

Main Methods:

  • Critiquing the TRACE model's simulation of activation feedback.
  • Analyzing the interpretation of empirical data supporting activation feedback.
  • Comparing TRACE's performance with Bayesian models.

Main Results:

  • The speed-up observed in TRACE can be attributed to parameter adjustments, not solely activation feedback.
  • TRACE's performance limitations stem from its suboptimal nature compared to Bayesian models.
  • Empirical data cited by Magnuson et al. are open to alternative explanations and contradict activation feedback.

Conclusions:

  • There are no sufficient computational or empirical grounds to support the claim that activation feedback benefits human spoken-word recognition.
  • Alternative feedback mechanisms, such as those supporting perceptual learning, are theoretically plausible and beneficial.
  • The existence and necessity of on-line activation feedback for word recognition remain unsubstantiated.