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Word recognition performance in various background competitors

J L Sperry1, T L Wiley, M R Chial

  • 1Department of Communicative Disorders, University of Wisconsin-Madison 53706, USA.

Journal of the American Academy of Audiology
|April 1, 1997
PubMed
Summary
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Meaningful background speech significantly impairs word recognition more than non-meaningful speech or noise. Non-meaningful speech also degraded performance more than speech-spectrum noise, impacting auditory perception.

Area of Science:

  • Audiology
  • Speech Perception
  • Psychoacoustics

Background:

  • Auditory perception research investigates how background sounds affect speech understanding.
  • Understanding the impact of different types of noise is crucial for developing hearing assistance technologies.

Purpose of the Study:

  • To compare the effects of meaningful multitalker competing messages, reversed multitalker competing messages, and speech-spectrum noise on word recognition performance.
  • To determine which type of auditory competitor most significantly degrades speech perception in normal-hearing listeners.

Main Methods:

  • 18 normal-hearing subjects participated.
  • Word recognition was tested using the Northwestern University Auditory Test No. 6 (NU-6) with a female talker.
  • Competitors included a forward multitalker competing message (FCM), backward multitalker competing message (BCM), and speech-spectrum noise (SSN).

Related Experiment Videos

Main Results:

  • The meaningful multitalker competing message (FCM) significantly impaired word recognition more than both non-meaningful competitors (BCM and SSN).
  • The non-meaningful speech competitor (BCM) caused significantly greater performance degradation than the speech-spectrum noise (SSN).

Conclusions:

  • Semantic content in competing speech poses a greater challenge to word recognition than non-meaningful auditory stimuli.
  • Speech-based competitors, even without semantic content, are more disruptive to speech perception than spectrally matched noise.