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Transforming assessment of speech in children with cleft palate via online crowdsourcing


Autoři: Anne M. Sescleifer aff001;  Caitlin A. Francoisse aff001;  Janna C. Webber aff002;  Jeffrey D. Rector aff003;  Alexander Y. Lin aff001
Působiště autorů: Division of Plastic Surgery, Saint Louis University School of Medicine, Saint Louis, Missouri, United States of America aff001;  St. Louis Cleft-Craniofacial Center, Division of Pediatric Plastic Surgery, SSM Health Cardinal Glennon Children’s Hospital at SLU, Saint Louis, Missouri, United States of America aff002;  Rector Consulting, San Francisco, California, United States of America aff003
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0227686

Souhrn

Objective

Speech intelligibility is fundamental to social interactions and a critical surgical outcome in patients with cleft palate. Online crowdsourcing is a burgeoning technology, with potential to mitigate the burden of limited accessibility to speech-language-pathologists (SLPs). This pilot study investigates the concordance of online crowdsourced evaluations of hypernasality with SLP ratings of children with cleft palate.

Methods

Six audio-phrases each from children with cleft palate were assessed by online crowdsourcing using Amazon Mechanical Turk (MTurk), and compared to SLP’s gold-standard hypernasality score on the Pittsburgh Weighted Speech Score (PWSS). Phrases were presented to MTurk crowdsourced lay-raters to assess hypernasality on a Likert scale analogous to the PWSS. The survey included clickable reference audio samples for different levels of hypernasality.

Results

1,088 unique online crowdsourced speech ratings were collected on 16 sentences of 3 children with cleft palate aged 4–8 years, with audio averaging 6.5 years follow-up after cleft palate surgery. Patient 1 crowd-mean was 2.62 (SLP rated 2–3); Patient 2 crowd-mean 2.66 (SLP rated 3); and Patient 3 crowd-mean 1.76 (SLP rated 2). Rounded for consistency with PWSS scale, all patients matched SLP ratings. Different sentences had different accuracies compared to the SLP gold standard scores.

Conclusion

Online crowdsourced ratings of hypernasal speech in children with cleft palate were concordant with SLP ratings, predicting SLP scores in all 3 patients. This novel technology has potential for translation in clinical speech assessments, and may serve as a valuable screening tool for non-experts to identify children requiring further assessment and intervention by a qualified speech language pathology expert.

Klíčová slova:

Cleft palate – Children – Phonemes – Pilot studies – Speech – Surgical and invasive medical procedures – Speech-language pathology – Cleft palate surgery


Zdroje

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