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A model for context effects in speech recognition

A W Bronkhorst1, A J Bosman, G F Smoorenburg

  • 1TNO Institute for Perception, Soesterberg, The Netherlands.

The Journal of the Acoustical Society of America
|January 1, 1993
PubMed
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This study introduces a model quantifying context's impact on speech recognition. It predicts correct stimulus reproduction, showing spoken language cues are crucial in noisy conditions.

Area of Science:

  • Cognitive Science
  • Speech Processing
  • Information Theory

Background:

  • Context significantly influences human perception and information processing.
  • Understanding speech recognition requires modeling how listeners use contextual cues.
  • Previous models often overlook the dynamic interplay between stimulus clarity and contextual support.

Purpose of the Study:

  • To develop and validate a computational model quantifying the effect of context on speech recognition.
  • To predict the probability of correct recognition for entire or partial speech stimuli.
  • To explore the model's applicability to both auditory and visual recognition tasks.

Main Methods:

  • A probabilistic model treating speech as concatenated elements (e.g., phonemes).

Related Experiment Videos

  • Incorporation of element recognition probabilities and contextual guessing.
  • Validation using consonant-vowel-consonant (CVC) syllables in quiet and noise, orthographic CVC data, and CVC lexicon word counts.

    • Main Results:

    • The model accurately predicts recognition performance across various conditions.
    • Spoken language-specific cues (coarticulatory cues) show greater impact near the noise threshold than the absolute threshold.
    • Model predictions align with experimental data on CVC syllables and word recognition.

    Conclusions:

    • Context plays a vital role in speech recognition, particularly in challenging auditory environments.
    • The developed model provides a robust framework for understanding and predicting speech perception.
    • The findings highlight the differential importance of linguistic cues based on stimulus degradation.