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EEG can predict speech intelligibility.

Ivan Iotzov1, Lucas C Parra1

  • 1Biomedical Engineering, City College of New York, New York City, NY, United States of America.

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|February 19, 2019
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Summary
This summary is machine-generated.

Measuring brain activity with electroencephalogram (EEG) can predict speech intelligibility. Increased correlation between speech sounds and EEG responses indicates better understanding, offering a tool for hearing aid assessments.

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Signal Processing

Background:

  • Speech signals entrain brain activity, with sound amplitude correlating to electroencephalogram (EEG) responses.
  • The strength of this stimulus-response correlation indicates listener attention.
  • The predictive power of this correlation for speech intelligibility remains largely unexplored.

Purpose of the Study:

  • To investigate if the stimulus-response correlation, measured via EEG, predicts speech intelligibility.
  • To test the hypothesis that reduced speech intelligibility in noisy conditions leads to decreased attention and correlation.

Main Methods:

  • Listeners' word detection in noisy speech was measured while recording brain activity using EEG.
  • Speech intelligibility was manipulated by pairing auditory stimuli with congruent and incongruent visual speech.
  • The correlation between the speech sound and EEG responses was analyzed over 30 minutes.

Main Results:

  • For most subjects, improved speech detection correlated with an increased stimulus-response correlation.
  • This suggests a direct link between neural tracking of speech and intelligibility.

Conclusions:

  • The correlation between perceived sound and EEG responses is a potential indicator of speech intelligibility.
  • Simultaneous EEG and sound recordings may serve as a practical method for assessing speech intelligibility, particularly for hearing aid fitting.