Visualising speech: using ultrasound visual biofeedback to diagnose and treat speech disorders in children with cleft lip and palate

Joanne Cleland, Lisa Crampin, A.A. Wrench, Natalia Zharkova, Susan Lloyd

Research output: Contribution to conferencePoster

Abstract

BACKGROUND: Children withcleft lip and palate (CLP) often continue to have problems producing clearspeech long after the clefts have been surgically repaired, leading toeducational and social disadvantage. Speech is of key importance in CLP fromboth a quality of life and surgical outcome perspective, yet assessment relieson subjective perceptual methods, with speech and language therapists (SLTs)listening to speech and transcribing errors. This is problematic becauseperception-based phonetic transcription is well known to be highly unreliable(Howard & Lohmander, 2011) especially in CLP, where the range of errortypes is arguably far greater than for other speech sound disorders. Moreover,CLP speech is known to be vulnerable to imperceptible error types, such asdouble articulations which can only be understood with instrumental techniquessuch as ultrasound tongue imaging (UTI). Incorrect transcription of theseerrors can result in misdiagnosis and subsequent inappropriate interventionwhich can lead to speech errors becoming deeply ingrained.Aims: This study willdevelop a technical solution for improving diagnosis of speech disorders inchildren with CLP. Participants: 40 children with CLP, aged 3 to 15.Methods: Wewill use UTI to both qualitatively and quantitatively identify errors in thespeech of children with CLP. Data will consist of materials from the CLEFTNETprotocol: spontaneous counting, 10 repetitions of all consonants in /aCa/,sentences from GOS.SP.ASS. 98 (Sell, Harding & Grunwell, 1998) and 5minimal sets contrasting common substitutions (e.g. “a ship, a sip, a chip”).Ultrasound data will be collected using a Sonospeech high-speed cineloop systemat 80fps over a 150 degree field of view. The ultrasound probe will be placedunder the chin using a stabilising head set. Analysis: Consonants will beannotated using Articulate Assistant Advanced (AAA) software (ArticulateInstruments, 2012), after which we will systematically analyse the data toidentify each of Gibbon’s eight error types (Gibbon, 2004) using measures byZharkova (2013, 2016) and Dawson, Tiede and Whalen (2016)Conclusions: Datacollection is ongoing. This poster will present the protocol for the study andsome preliminary data demonstrating cleft-type speech characteristics which canbe identified using ultrasound.

Original languageEnglish
Publication statusPublished - 27 Sep 2017
EventRoyal College of Speech and Language Therapists Conference 2017: Maximising Impact - Glasgow, United Kingdom
Duration: 27 Sep 201728 Sep 2017
https://www.rcslt.org/news/events/2017/rcslt_conference

Conference

ConferenceRoyal College of Speech and Language Therapists Conference 2017
Abbreviated titleRCSLT 2017
CountryUnited Kingdom
CityGlasgow
Period27/09/1728/09/17
Internet address

Keywords

  • ultrasound
  • cleft palate speech
  • visual biofeedback

Projects

Research Output

UltraSuite: a repository of ultrasound and acoustic data from child speech therapy sessions

Eshky, A., Ribeiro, M. S., Cleland, J., Richmond, K., Roxburgh, Z., Scobbie, J. & Wrench, A., 2 Sep 2018. 6 p.

Research output: Contribution to conferencePaper

Open Access
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Cite this

Cleland, J., Crampin, L., Wrench, A. A., Zharkova, N., & Lloyd, S. (2017). Visualising speech: using ultrasound visual biofeedback to diagnose and treat speech disorders in children with cleft lip and palate. Poster session presented at Royal College of Speech and Language Therapists Conference 2017, Glasgow, United Kingdom.