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Development and validation of SLPS: Slovak semantically predictable sentences.

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Summary

Researchers developed and validated Slovakian sentence materials for speech-in-noise testing. This new test material ensures consistent difficulty for accurate speech recognition assessments in noisy environments.

Keywords:
Slovak languageSpeech intelligibilitylistening testsentencesspeech reception thresholdspeech understanding in noise

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Area of Science:

  • Audiology
  • Speech-Language Pathology
  • Linguistics

Background:

  • Semantically predictable and well-balanced sentence materials are lacking in the Slovak language.
  • Accurate speech-in-noise testing requires standardized, equally difficult stimuli.

Purpose of the Study:

  • To develop and validate a set of Slovakian sentences for speech-in-noise testing.
  • To create materials with consistent difficulty at the 50% performance intensity function point.

Main Methods:

  • Sentences were developed for stationary, speech-weighted noise conditions.
  • Listening tests used fixed signal-to-noise ratios (SNRs) and an adaptive validation method.
  • Reference data collected from 85 and 37 native Slovakian adults with normal hearing.

Main Results:

  • 18 sets of 10 sentences were created.
  • Average speech reception threshold (SRT) in noise was -4.5 dB SNR (SD ±0.6 dB).
  • Average performance intensity function slope was 14.4%/dB (SD ±3.8%/dB).

Conclusions:

  • The developed Slovakian sentence test material is validated for assessing speech understanding in noise.
  • This resource is suitable for diverse clinical and non-clinical applications.
  • Enables reliable speech recognition evaluation in challenging auditory conditions.