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Speech-in-noise measures: variable versus fixed speech and noise levels
Richard H Wilson1, Rachel McArdle
1VA Medical Center, Mountain Home, TN 37684, USA. richard.wilson2@va.gov
International Journal of Audiology
|May 30, 2012
Summary
Speech recognition performance is similar whether speech or noise levels vary. Small differences observed in the speech-variable, babble-fixed condition are not practically significant for speech perception in noise testing.
Area of Science:
- Audiology
- Speech-Language Pathology
- Psychoacoustics
Background:
- Assessing speech perception in noise is crucial for understanding hearing abilities.
- The revised speech perception in noise (R-SPIN) test is a standard tool for this assessment.
- Variations in testing paradigms, such as fixed vs. variable signal-to-noise ratios, may influence results.
Purpose of the Study:
- To compare speech recognition performance under two auditory conditions: fixed speech level with varying noise, and fixed noise level with varying speech.
- To determine if experimental design impacts speech perception in noise outcomes.
Main Methods:
- A quasi-experimental design using the R-SPIN test (Lists 3 & 4) with high (HP) and low (LP) predictability words.
- Modified R-SPIN into a multiple signal-to-noise ratio paradigm (23 to -1 dB).
- Calculated 50% points using the Spearman-Kärber equation for 16 young normal-hearing and 48 older hearing-impaired listeners.
Main Results:
- Normal-hearing listeners outperformed hearing-impaired listeners on both HP and LP conditions.
- HP sentences yielded better performance than LP sentences for all participants.
- Mean 50% points were marginally better (0.1–0.4 dB lower) in the speech-variable, babble-fixed condition compared to the speech-fixed, babble-variable condition.
Conclusions:
- The observed differences (≤ 0.4 dB) between the two testing paradigms are negligible for practical speech recognition assessment.
- These small variations do not significantly alter speech perception in noise outcomes.
- The R-SPIN test demonstrates robust performance measurement across these tested conditions.

