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Effect of set size and method on speech reception thresholds in noise
1Department of Speech and Hearing Science, University of Illinois, Champaign, USA.
Ear and Hearing
|June 1, 1997
Summary
Varying the number of words in speech reception threshold (SRT) tests impacts results. Using a criterion-free measure, like d-prime, ensures SRTs are independent of set size, unlike fixed percent-correct methods.
Area of Science:
- Audiology
- Speech-Language Pathology
- Psychoacoustics
Background:
- Speech reception thresholds (SRTs) are influenced by signal and response uncertainty.
- The standard definition of SRT as a fixed percent-correct score becomes problematic when set size (M) varies.
- This variability affects the interpretation of threshold measures across different set sizes (M=2 to 16).
Purpose of the Study:
- To investigate the impact of set size (M) on speech reception thresholds (SRTs).
- To compare two different testing strategies for determining SRTs under varying set sizes.
- To evaluate the influence of set size on the signal-to-noise ratio (S/N) at threshold.
Main Methods:
- SRTs were measured in 80 dB SPL white noise for word sets of 2, 4, 8, and 16 words.
- Two procedures were employed: one using a fixed percent-correct criterion and another using d' = 1.00.
- Participants were 12 young women with normal hearing and limited prior audiological testing experience.
Main Results:
- When using a fixed percent-correct criterion, the S/N at threshold was significantly dependent on set size (F=3.333, p=0.031).
- Conversely, when threshold was defined by d' = 1.00, the S/N at threshold was independent of set size.
- This indicates that d'-based measures offer a more stable assessment across different set sizes.
Conclusions:
- For clinical SRT testing with set sizes smaller than recommended guidelines, criterion-free measures are preferable.
- Using a d'-based criterion ensures SRTs are independent of the tested word set size.
- This approach enhances the reliability and comparability of SRT measurements in audiology.