ArticleJournal of speech, language, and hearing research : JSLHR2026
Perceptual Learning and Predictability of Children's Speech.
Article in Journal of speech, language, and hearing research : JSLHR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Improving Intelligibility in Childhood Apraxia of Speech Through Communication Partner Training.American journal of speech-language pathology · 2026Article
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Authors and funding
4 authors.
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Abstract
purposeAccording to theoretical models, perceptual learning is modulated by the level of acoustic predictably in the speech signal. This study investigated whether the variable speech of children is learnable in a perceptual learning paradigm and examined whether speech variability, as quantified by the acoustic spatiotemporal index (STI), predicted perceptual learning outcomes.
methodSpeech samples were elicited from 40 typically developing children talkers (ages 3-8 years) and presented to 410 adult listeners in a structured perceptual learning experiment. Listeners transcribed phrases before (pretest) and after (posttest) a lexically guided familiarization phase. Intelligibility improvements following familiarization were analyzed using paired
resultsListeners demonstrated significant perceptual learning of children's speech, with an average intelligibility gain of 6.4% following familiarization (
conclusionsThis study provides the first empirical evidence that children's speech is learnable in a structured perceptual learning paradigm. Although the acoustic STI affords some insight into predictability, it does not fully account for variability in perceptual learning. Future work should explore measures that capture segmental predictability to refine models of speech learnability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.