Connecting Preschoolers' Spontaneous Speech Patterns to Future Language Skills: A 3-Year Concurrent and Longitudinal Cohort Study of Canonical Proportion as a Developmental Index.
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| Title: | Connecting Preschoolers' Spontaneous Speech Patterns to Future Language Skills: A 3-Year Concurrent and Longitudinal Cohort Study of Canonical Proportion as a Developmental Index. |
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| Authors: | Ott, Carissa1, Cychosz, Margaret2 mcychosz@stanford.edu |
| Source: | Journal of Speech, Language & Hearing Research. Sep2026, Vol. 69 Issue 9, p4232-4250. 19p. |
| Subject Terms: | *Consonants, *Longitudinal method, *Child development, *Automation, *Vocabulary, *Language acquisition, *Algorithms, Research funding, Task performance, Multiple regression analysis, Probability theory, Descriptive statistics, Sound recordings, Mean length of utterance, Data analysis software |
| Abstract: | Purpose: Understanding how children's spontaneous language behavior relates to standardized metrics of speech and language remains a crucial challenge in studies of language acquisition and clinical assessment. Traditional lab- and clinic-based paradigms are time- and resource-intensive and may not fully capture a child's underlying language competencies. This study aimed to investigate whether automated analysis of naturalistic, child-centered audio recordings can index the developmental trajectory of speech-language abilities from 2 to 5 years of age. Method: A longitudinal design was employed with N = 155 preschoolers, who were followed from 2 to 5 years of age. Deep learning speech classification methods were used to compute canonical proportion-the proportion of a child's speech that is produced as canonical syllables (well-formed syllables with a consonant-vowel transition, such as "ba"), a key marker of speech motor control development and phonological representation building-from child-centered audio recordings collected at 2-4 years of age. Standardized lab-based assessments of speech and language development were administered concurrently and 1 year later at 2-5 years of age. Results: Canonical proportion measures significantly predicted multiple dimensions of later speech-language development. The strongest longitudinal associations were observed for consonant articulation skill and vocabulary size. Weaker, although still significant, relationships were found for metaphonological skills, including phonological awareness and phonological working memory. Conclusions: Findings suggest that children's spontaneous, everyday speech production patterns provide moderate indices of subsequent language development across multiple domains. Automated measures such as canonical proportion hold promise for expanding and diversifying approaches to studying lan-quaqe acquisition and for complementinq traditional lab-based assessments. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 197210481 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Connecting Preschoolers' Spontaneous Speech Patterns to Future Language Skills: A 3-Year Concurrent and Longitudinal Cohort Study of Canonical Proportion as a Developmental Index. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ott%2C+Carissa%22">Ott, Carissa</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cychosz%2C+Margaret%22">Cychosz, Margaret</searchLink><relatesTo>2</relatesTo><i> mcychosz@stanford.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Sep2026, Vol. 69 Issue 9, p4232-4250. 19p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Consonants%22">Consonants</searchLink><br />*<searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br />*<searchLink fieldCode="DE" term="%22Child+development%22">Child development</searchLink><br />*<searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br />*<searchLink fieldCode="DE" term="%22Vocabulary%22">Vocabulary</searchLink><br />*<searchLink fieldCode="DE" term="%22Language+acquisition%22">Language acquisition</searchLink><br />*<searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Task+performance%22">Task performance</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Sound+recordings%22">Sound recordings</searchLink><br /><searchLink fieldCode="DE" term="%22Mean+length+of+utterance%22">Mean length of utterance</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Understanding how children's spontaneous language behavior relates to standardized metrics of speech and language remains a crucial challenge in studies of language acquisition and clinical assessment. Traditional lab- and clinic-based paradigms are time- and resource-intensive and may not fully capture a child's underlying language competencies. This study aimed to investigate whether automated analysis of naturalistic, child-centered audio recordings can index the developmental trajectory of speech-language abilities from 2 to 5 years of age. Method: A longitudinal design was employed with N = 155 preschoolers, who were followed from 2 to 5 years of age. Deep learning speech classification methods were used to compute canonical proportion-the proportion of a child's speech that is produced as canonical syllables (well-formed syllables with a consonant-vowel transition, such as "ba"), a key marker of speech motor control development and phonological representation building-from child-centered audio recordings collected at 2-4 years of age. Standardized lab-based assessments of speech and language development were administered concurrently and 1 year later at 2-5 years of age. Results: Canonical proportion measures significantly predicted multiple dimensions of later speech-language development. The strongest longitudinal associations were observed for consonant articulation skill and vocabulary size. Weaker, although still significant, relationships were found for metaphonological skills, including phonological awareness and phonological working memory. Conclusions: Findings suggest that children's spontaneous, everyday speech production patterns provide moderate indices of subsequent language development across multiple domains. Automated measures such as canonical proportion hold promise for expanding and diversifying approaches to studying lan-quaqe acquisition and for complementinq traditional lab-based assessments. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2026_JSLHR-25-00938 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 4232 Subjects: – SubjectFull: Consonants Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Child development Type: general – SubjectFull: Automation Type: general – SubjectFull: Vocabulary Type: general – SubjectFull: Language acquisition Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Research funding Type: general – SubjectFull: Task performance Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Probability theory Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Sound recordings Type: general – SubjectFull: Mean length of utterance Type: general – SubjectFull: Data analysis software Type: general Titles: – TitleFull: Connecting Preschoolers' Spontaneous Speech Patterns to Future Language Skills: A 3-Year Concurrent and Longitudinal Cohort Study of Canonical Proportion as a Developmental Index. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ott, Carissa – PersonEntity: Name: NameFull: Cychosz, Margaret IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10924388 Numbering: – Type: volume Value: 69 – Type: issue Value: 9 Titles: – TitleFull: Journal of Speech, Language & Hearing Research Type: main |
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