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A Method for Measuring Speech Intelligibility Using Connected Speech.

Paolo A Mesiano^1,2, Hamish Innes-Brown^1,2, Tobias May²

¹Eriksholm Research Centre, Snekkersten, Denmark.

Journal of Speech, Language, and Hearing Research : JSLHR

|April 23, 2026

Summary

This summary is machine-generated.

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.

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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.