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Related Experiment Videos

Evaluating a speech-reception threshold model for hearing-impaired listeners

L W Lee1, L E Humes

  • 1Department of Speech and Hearing Sciences, Indiana University, Bloomington 47405.

The Journal of the Acoustical Society of America
|May 1, 1993
PubMed
Summary
This summary is machine-generated.

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Plomp's speech reception threshold (SRT) model's distortion factor may be explained by inaudible speech portions. At high noise levels, hearing-impaired and normal-hearing listeners' SRTs converge, diminishing the distortion factor.

Area of Science:

  • Audiology
  • Speech perception research
  • Psychoacoustics

Background:

  • Plomp's speech reception threshold (SRT) model includes distortion and attenuation factors.
  • These factors, measured in decibels, are typically greater than 0 dB for hearing-impaired listeners.
  • The distortion factor is hypothesized to impact SRT in quiet and noise, suggesting hearing-impaired listeners have higher SRTs.

Purpose of the Study:

  • To investigate if inaudibility of speech spectrum portions explains the distortion factor in Plomp's SRT model.
  • To examine SRTs in normal-hearing and hearing-impaired listeners across quiet and noisy conditions.
  • To assess the convergence of SRT functions and the behavior of the distortion factor at varying noise levels.

Main Methods:

  • Obtained speech reception thresholds (SRTs) from normal-hearing and mild-to-moderately hearing-impaired listeners.

Related Experiment Videos

  • Tested listeners in quiet and at multiple specified noise levels.
  • Utilized an articulation index for comparative predictions.

    • Main Results:

    • At high noise levels, SRT functions for both normal-hearing and hearing-impaired groups converged.
    • The distortion factor diminished to zero as noise levels increased and became the dominant factor.
    • Articulation index predictions also showed similar convergence between the listener groups.

    Conclusions:

    • The distortion factor in Plomp's SRT model may be largely attributable to the inaudibility of speech spectrum portions for hearing-impaired listeners.
    • The influence of the distortion factor decreases significantly in the presence of high noise levels.
    • SRT prediction models, including those using articulation index, demonstrate convergence for different hearing statuses under specific noise conditions.