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A Method for Measuring Speech Intelligibility Using Connected Speech
Paolo A Mesiano1,2, Hamish Innes-Brown1,2, Tobias May2
1Eriksholm Research Centre, Snekkersten, Denmark.
Journal of Speech, Language, and Hearing Research : JSLHR
|April 23, 2026
Summary
This study introduces a new method for measuring speech intelligibility using connected speech. The results showed no average difference between presentation modes, but significant individual variability was observed, especially in hearing-impaired listeners.
Area of Science:
- Audiology
- Speech-Language Pathology
- Psychoacoustics
Background:
- Speech intelligibility testing is crucial for evaluating hearing aid efficacy and understanding speech perception.
- Existing methods often use isolated sentences, which may not reflect real-world listening conditions.
- Connected speech offers a more ecologically valid paradigm for assessing auditory comprehension.
Purpose of the Study:
- To present and evaluate an experimental method for measuring speech intelligibility using connected speech.
- To assess the performance of this method in both normal-hearing (NH) and hearing-impaired (HI) listeners.
- To compare speech intelligibility in connected speech versus non-connected speech contexts.
Main Methods:
- Short target sentences were embedded within connected speech from a same-sex talker.
- An interfering signal of connected speech from a different same-sex talker was used.
- The method was tested on NH and HI listeners, comparing intelligibility scores between embedded and non-embedded sentences.
Main Results:
- No significant average difference in speech intelligibility was found between the two presentation modes for NH or HI listeners.
- A large degree of inter-individual variability in performance was observed, particularly among HI listeners.
- This variability suggests potential for individualized benefits depending on the presentation mode.
Conclusions:
- The proposed method provides a viable tool for speech intelligibility testing with connected speech.
- This approach allows for the assessment of signal characteristics and processing algorithms over longer time windows.
- It offers a novel experimental approach to studying speech perception in complex auditory environments.

