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Beyond the edge: Markerless pose estimation of speech articulators from ultrasound and camera images using DeepLabCut
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The impact of real-time articulatory information on phonetic transcription : ultrasound-aided transcription in cleft lip and palate speech
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The impact of real-time articulatory information on phonetic transcription: Ultrasound-aided transcription in cleft lip and palate speech
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Abstract:
This is the peer-reviewed but unedited manuscript version of the following article: Cleland, J., Lloyd, S., Campbell, L., Crampin, L., Palo, J-P., Sugden, E., Wrench, A. & Zharkova, N. (2019) The impact of real-time articulatory information on phonetic transcription: Ultrasound-aided transcription in cleft lip and palate speech. Folia Phoniatrica et Logopaedica (In Press) https://doi.org/. The final, published version is available at http://www.karger.com/?doi=10.1159/000499753 ; Susan Lloyd - orcid:0000-0003-4338-3630 orcid:0000-0003-4338-3630 ; Deposited in University of Strathclyde (Strathprints) repository on 21 March 2019, available at: https://strathprints.strath.ac.uk/id/eprint/67401 ; Objective: This study investigated whether adding an additional modality, namely ultrasound tongue imaging, to perception-based phonetic transcription impacted on the identification of compensatory articulations and on interrater reliability. Patients and Methods: Thirty-nine English-speaking children aged 3 to 12 with cleft lip and palate (CLP) were recorded producing repetitions of /aCa/ for all places of articulation with simultaneous audio and probe-stabilised ultrasound. Three types of transcriptions were performed: 1. Descriptive observations from the live ultrasound by the clinician recording the data; 2. Ultrasound-aided transcription by two ultrasound-trained clinicians; and 3. Traditional phonetic transcription by two CLP specialists from audio recording. We compared the number of consonants identified as in error by each transcriber and then classified errors into eight different subcategories. Results: Both the ultrasound-aided and traditional transcriptions yielded similar error-detection rates, however these were significantly higher than the observations recorded live in the clinic. Interrater reliability for the ultrasound transcribers was substantial (k=0.65), compared to moderate (k=0.47) for the traditional transcribers. Ultrasound-aided transcribers were more likely to identify covert errors such as double articulations and retroflexion than the audio-only transcribers. Conclusion: Ultrasound-tongue imaging is a useful complement to traditional phonetic transcription for CLP speech. ; This work was funded by grants from Action Medical Research (GN2544) and the Engineering and Physical Sciences Research Council (EP/P02338X/1). ; https://www.karger.com/Journal/Home/224177 ; 72 ; pub ; pub ; 2
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Keyword:
Cleft Lip; Cleft Palate; Speech; Speech and Language Therapy; Transcription; Ultrasound Tongue Imaging
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URL: https://doi.org/10.1159/000499753 https://hdl.handle.net/20.500.12289/9669 https://eresearch.qmu.ac.uk/handle/20.500.12289/9669
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Enabling new articulatory gestures in children with persistent speech sound disorders using ultrasound visual biofeedback
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UltraSuite: A Repository of Ultrasound and Acoustic Data from Child Speech Therapy Sessions
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Covert contrast and covert errors in persistent velar fronting
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Covert contrast and covert error in persistent velar fronting
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Using ultrasound visual biofeedback to treat persistent primary speech sound disorders
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Helping children learn non-native articulations: The implications for ultrasound-based clinical intervention
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Towards a 3D Tongue model for parameterising ultrasound data
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Using ultrasound visual biofeedback to treat persistent primary speech sound disorders
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Recording speech articulation in dialogue: Evaluating a synchronized double Electromagnetic Articulography setup
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Comparing articulatory images: An MRI / Ultrasound Tongue Image database
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Head-Probe stabilisation in ultrasound tongue imaging using a headset to permit natural head movement.
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High-speed Cineloop Ultrasound vs. Video Ultrasound Tongue Imaging: Comparison of Front and Back Lingual Gesture Location and Relative Timing.
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Protocol for Restricting Head Movement when Recording Ultrasound Images of Speech
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