Selecting an acoustic correlate for automated measurement of American English rhotic production in children.
Purpose: A current need in the field of speech-language pathology is the development of reliable and efficient techniques to evaluate accuracy of speech targets over the course of treatment. As acoustic measurement techniques improve, it should become possible to use automated scoring in lieu of rat...
| Publicado en: | International Journal of Speech-Language Pathology Vol. 20; no. 6; pp. 635 - 644 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=134630156&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 134630156 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17549507 8NBH jtl: International Journal of Speech-Language Pathology issn: 17549507 maglogo: Y pubinfo: dt: Dec2018 vid: 20 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 134630156 134630156 134630156 10.1080/17549507.2017.1359334 134630156 ppf: 635 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Selecting an acoustic correlate for automated measurement of American English rhotic production in children. aug: au: CAMPBELL, HEATHER HAREL, DAPHNA HITCHCOCK, ELAINE BYUN, TARA MCALLISTER affil: Department of Communicative Sciences and Disorders, NYU Steinhardt School of Culture, Education, & Human Development, New York, NY, USA sug: subj: Speech Disorders Therapy Speech Production Measurement In Infancy and Childhood Automation Speech Acoustics Linguistics Accents and Dialects Algorithms Human Funding Source Multiple Regression Phonetics Male Female Child Child, Preschool Infant Infant, Newborn Data Analysis Software Chi Square Test Child: 6-12 years Child, Preschool: 2-5 years Infant: 1-23 months Infant, Newborn: birth-1 month Male Female ab: Purpose: A current need in the field of speech-language pathology is the development of reliable and efficient techniques to evaluate accuracy of speech targets over the course of treatment. As acoustic measurement techniques improve, it should become possible to use automated scoring in lieu of ratings from a trained clinician in some contexts. This study asks which acoustic measures correspond most closely with expert ratings of children's productions of American English /ɹ/ in an effort to develop an automated scoring algorithm for use in treatment targeting rhotics. Method: A series of ordinal mixed-effects regression models were fit over a large sample of children's productions of words containing /ɹ/ that had previously been rated by three trained clinicians. Akaike/Bayesian Information Criteria were used to select the best-fitting model. Result: Controlling for age, sex, and allophonic contextual differences, the measure that accounted for the most variance in speech rating was F3-F2 distance normalised relative to a sample of age- and sex-matched speakers. Conclusion: We recommend this acoustic measure for use in future automated scoring of children's production of American English rhotics. We also suggest that computer-based treatment with automated scoring should facilitate increases in treatment dosage by improving options for home practice. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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