ArticleJournal of speech, language, and hearing research : JSLHR2023
Lexical Characteristics of the Speech Intelligibility Test: Effects on Transcription Intelligibility for Speakers With Multiple Sclerosis and Parkinson's Disease.
Article in Journal of speech, language, and hearing research : JSLHR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Improving Perceptual Speech Ratings: The Effects of Auditory Training on Judgments of Dysarthric Speech.Journal of speech, language, and hearing research : JSLHR · 2023Trial
- Paired-Comparison Versus Cross-Sectional Approaches for Assessing Longitudinal Speech Change in Parkinson's Disease Following Deep Brain Stimulation of the Subthalamic Nucleus.American journal of speech-language pathology · 2026Article
- Automated Scoring of the Speech Intelligibility Test Using Autoscore.American journal of speech-language pathology · 2025Article
- Progress Toward Estimating the Minimal Clinically Important Difference of Intelligibility: A Crowdsourced Perceptual Experiment.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Comparing manual and automated methods for calculating speaking rate in Parkinson's disease.JASA express letters · 2025Article
- How to Efficiently Measure the Intelligibility of People With Parkinson's Disease.American journal of speech-language pathology · 2025Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeLexical characteristics of speech stimuli can significantly impact intelligibility. However, lexical characteristics of the widely used Speech Intelligibility Test (SIT) are unknown. We aimed to (a) define variation in neighborhood density, word frequency, grammatical word class, and type-token ratio across a large corpus of SIT sentences and tests and (b) determine the relationship of lexical characteristics to speech intelligibility in speakers with multiple sclerosis (MS), Parkinson's disease (PD), and neurologically healthy controls.
methodUsing an extant database of 92 speakers (32 controls, 30 speakers with MS, and 30 speakers with PD), percent correct intelligibility scores were obtained for the SIT. Neighborhood density, word frequency, word class, and type-token ratio were calculated and summed for each of the 11 sentences of each SIT test. The distribution of each characteristic across SIT sentences and tests was examined. Linear mixed-effects models were performed to assess the relationship between intelligibility and the lexical characteristics.
resultsThere was large variability in the distribution of lexical characteristics across this large corpus of SIT sentences and tests. Modeling revealed a relationship between intelligibility and the lexical characteristics, with word frequency and word class significantly contributing to the model.
conclusionsThree primary findings emerged: (a) There was considerable variability in lexical characteristics both within and across the large corpus of SIT tests; (b) there was not a robust association between intelligibility and the lexical characteristics; and (c) findings from a study demonstrating an effect of neighborhood density and word frequency on intelligibility were replicated. Clinical and research implications of the findings are discussed, and three exemplar SIT tests systematically controlling for neighborhood density and word frequency are provided.
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