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Relations between speech intelligibility and psychoacoustical modulation transfer function (PMTF).

B Hagerman1, A Olofsson, A C Lindblad

  • 1Department of Technical Audiology, Karolinska Institutet, Stockholm, Sweden.

Scandinavian Audiology
|January 1, 1987
PubMed
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Researchers developed a psycho-acoustical modulation transfer function (PMTF) to predict speech intelligibility. The PMTF showed promising correlations with speech discrimination scores, suggesting its potential for audiological applications.

Area of Science:

  • Audiology
  • Psychoacoustics
  • Speech Science

Background:

  • The modulation transfer function (MTF) effectively predicts speech intelligibility in transmission channels.
  • Extending MTF to include auditory perception is crucial for understanding speech intelligibility in complex listening environments.

Purpose of the Study:

  • To measure the psycho-acoustical modulation transfer function (PMTF) in normal-hearing and hearing-impaired individuals.
  • To calculate psycho-acoustical speech transmission indices (PSTIs) based on PMTF measurements.
  • To assess the correlation between PSTIs and objective measures of speech perception.

Main Methods:

  • Tone thresholds were measured in the presence of modulated and unmodulated noise across octave frequencies (500-4,000 Hz).
  • Six modulation frequencies (1-50 Hz) were employed using octave-filtered noise.

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  • PMTFs and PSTIs were calculated from the threshold measurements.
  • Main Results:

    • A high correlation (0.85) was found between speech discrimination scores in quiet and the calculated PSTI.
    • A moderate correlation (0.71) was observed between speech reception thresholds in noise and PSTI.
    • Fatigue effects presented challenges, indicating a need for methodological refinement.

    Conclusions:

    • The developed PMTF and resulting PSTI show potential as predictors of speech intelligibility.
    • The strong correlation with speech discrimination in quiet is promising for audiological applications.
    • Further research is needed to optimize the methodology and mitigate fatigue effects for improved reliability.