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A computational approach to analyzing sentential speech perception: phoneme-to-phoneme stimulus-response alignment

L E Bernstein1, M E Demorest, S P Eberhardt

  • 1Center for Auditory and Speech Sciences, Gallaudet University, Washington, DC 20002-3695.

The Journal of the Acoustical Society of America
|June 1, 1994
PubMed
Summary

A new sequence comparator accurately analyzes speechreading errors by aligning phonemes. This tool helps understand speech perception and identify speech recognition challenges in sentence responses.

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Area of Science:

  • Speech and Hearing Science
  • Linguistics
  • Human-Computer Interaction

Background:

  • Studying speech perception errors is crucial for understanding auditory and visual speech recognition.
  • Existing methods may not adequately capture phonemic-level inaccuracies in sentence responses.

Purpose of the Study:

  • To develop a principled computational approach for analyzing error patterns in sentence-length speechreading responses.
  • To create and validate a sequence comparator for phoneme-to-phoneme alignment.

Main Methods:

  • Developed a sequence comparator performing phoneme-to-phoneme alignment on transcribed stimulus and response sentences.
  • Tested cost metrics (visemes, Euclidean distances) and comparison algorithms.
  • Validated the comparator using data from 139 normal-hearing subjects lipreading sentences and 15 subjects identifying nonsense syllables.

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Main Results:

  • The sequence comparator achieved face validity in alignments.
  • Measures of phonemes correct and substitution uncertainty effectively distinguished between true and random stimulus-response sentence pairs.
  • Correct phoneme matches were significantly rarer in random pairings, and uncertainty was higher for random pairs.

Conclusions:

  • The developed sequence comparator provides a valid method for analyzing speechreading errors at the phoneme level.
  • The findings demonstrate the utility of phoneme alignment for assessing speech perception accuracy and understanding error types.