scholarly journals Extending Ultrasound Tongue Shape Complexity Measures to Speech Development and Disorders

Author(s):  
Heather Kabakoff ◽  
Daphna Harel ◽  
Mark Tiede ◽  
D. H. Whalen ◽  
Tara McAllister

Purpose Generalizations can be made about the order in which speech sounds are added to a child's phonemic inventory and the ways that child speech deviates from adult targets in a given language. Developmental and disordered speech patterns are presumed to reflect differences in both phonological knowledge and skilled motor control, but the relative contribution of motor control remains unknown. The ability to differentially control anterior versus posterior regions of the tongue increases with age, and thus, complexity of tongue shapes is believed to reflect an individual's capacity for skilled motor control of speech structures. Method The current study explored the relationship between tongue complexity and phonemic development in children (ages 4–6 years) with and without speech sound disorder producing various phonemes. Using established metrics of tongue complexity derived from ultrasound images, we tested whether tongue complexity incrementally increased with age in typical development, whether tongue complexity differed between children with and without speech sound disorder, and whether tongue complexity differed based on perceptually rated accuracy (correct vs. incorrect) for late-developing phonemes in both diagnostic groups. Results Contrary to hypothesis, age was not significantly associated with tongue complexity in our typical child sample, with the exception of one association between age and complexity of /t/ for one measure. Phoneme was a significant predictor of tongue complexity, and typically developing children had more complex tongue shapes for /ɹ/ than children with speech sound disorder. Those /ɹ/ tokens that were rated as perceptually correct had higher tongue complexity than the incorrect tokens, independent of diagnostic classification. Conclusions Quantification of tongue complexity can provide a window into articulatory patterns characterizing children's speech development, including differences that are perceptually covert. With the increasing availability of ultrasound imaging, these measures could help identify individuals with a prominent motor component to their speech sound disorder and could help match those individuals with a corresponding motor-based treatment approach. Supplemental Material https://doi.org/10.23641/asha.14880039

1976 ◽  
Vol 19 (3) ◽  
pp. 421-447 ◽  
Author(s):  
R. D. Kent

This paper surveys acoustic studies of speech development and discusses the data with respect to the anatomical and neuromuscular maturation of the speech mechanism. The acoustic data on various aspects of speech production indicate that the accuracy of motor control improves with age until adult-like performance is achieved at about 11 or 12 years, somewhat after the age at which speech sound acquisition usually is judged to be complete. Other topics of discussion are (1) problems in the spectrographic analysis of children’s speech, (2) formant scale factors that relate children’s and adults' data, and (3) identification and diagnosis of developmental disorders through acoustic analyses of speech sounds.


2020 ◽  
Vol 9 (10) ◽  
pp. e2249108480
Author(s):  
Gabriela Brum dos Santos ◽  
Marileda Barichello Gubiani ◽  
Leticia Arruda Nóro ◽  
Helena Bolli Mota

Objetivo: realizar uma revisão bibliográfica sobre o atraso motor de fala não especificado, como ele é avaliado e ainda como se diferencia de outras desordens motoras da fala. Estratégia de pesquisa: Trata-se de uma revisão integrativa da literatura. Realizou-se a busca nas bases SciELO, PubMed, Medine e Scopus no mês de novembro de 2019. Para as quatro bases foram utilizados os seguintes construtos e descritores: “motor speech disorders” OR “childhood apraxia of speech” OR “childhood apraxia of speech cas” OR “developmental dyspraxia” OR “speech sound disorder” AND “speech motor control”, além da utilização de dois filtros: sujeitos até 18 anos e humanos. Critérios de seleção: Artigos publicados em português, inglês ou espanhol foram incluídos, sendo ou não de periódicos de acesso livre. Foram excluídos artigos que não estavam relacionados ao atraso motor de fala não especificado e estudos de revisão de literatura. Resultados: Foram encontrados56 artigos nas bases de dados, sendo 33 da base Scopus, 19 da PubMed, 3 da SciElo e 1 da Medline. Após análise e seleção pelos critérios de inclusão, foram selecionados 14 estudos. Posteriormente a leitura integral dos artigos, 8 estudos foram excluídos, pois não respondiam as perguntas norteadoras da pesquisa, obtendo-se um n de 6 estudos. Conclusão: Muitas crianças com atraso significativo na fala são diagnosticadas erroneamente, sendo o DMS-NOS a desordem de maior prevalência na infância.


2020 ◽  
Vol 63 (11) ◽  
pp. 3714-3726
Author(s):  
Sherine R. Tambyraja ◽  
Kelly Farquharson ◽  
Laura Justice

Purpose The purpose of this study was to determine the extent to which school-age children with speech sound disorder (SSD) exhibit concomitant reading difficulties and examine the extent to which phonological processing and speech production abilities are associated with increased likelihood of reading risks. Method Data were obtained from 120 kindergarten, first-grade, and second-grade children who were in receipt of school-based speech therapy services. Children were categorized as being “at risk” for reading difficulties if standardized scores on a word decoding measure were 1 SD or more from the mean. The selected predictors of reading risk included children's rapid automatized naming ability, phonological awareness (PA), and accuracy of speech sound production. Results Descriptive results indicated that just over 25% of children receiving school-based speech therapy for an SSD exhibited concomitant deficits in word decoding and that those exhibiting risk at the beginning of the school year were likely to continue to be at risk at the end of the school year. Results from a hierarchical logistic regression suggested that, after accounting for children's age, general language abilities, and socioeconomic status, both PA and speech sound production abilities were significantly associated with the likelihood of being classified as at risk. Conclusions School-age children with SSD are at increased risk for reading difficulties that are likely to persist throughout an academic year. The severity of phonological deficits, reflected by PA and speech output, may be important indicators of subsequent reading problems.


2020 ◽  
Vol 29 (4) ◽  
pp. 1987-1996
Author(s):  
Sherine R. Tambyraja

Purpose This study investigated the extent to which speech-language pathologists (SLPs) facilitate parents' completion of homework activities for children with speech sound disorder (SSD). In addition, this study explored factors related to more consistent communication about homework completion and strategies considered particularly effective for supporting this element of parental involvement. Method Licensed SLPs serving at least one child with SSD were invited to participate in an online survey. Questions relevant to this study gathered information regarding (a) frequency of communication about homework distribution and follow-up, (b) demographic and workplace characteristics, and (c) an open-ended question about the specific strategies used to support parental involvement and completion of homework activities. Results Descriptive results indicated considerable variability with respect to how frequently SLPs engaged in communication about homework completion, but that school-based SLPs were significantly less likely to engage in this type of follow-up. Strategies considered effective, however, were similar across therapy contexts. Conclusion These results suggest potentially important differences between school-based services and therapy in other contexts with respect to this particular aspect of service provision for children with SSD.


2010 ◽  
Vol 20 (2) ◽  
pp. 29-36
Author(s):  
Erin M. Wilson ◽  
Ignatius S. B. Nip

Abstract Although certain speech development milestones are readily observable, the developmental course of speech motor control is largely unknown. However, recent advances in facial motion tracking systems have been used to investigate articulator movements in children and the findings from these studies are being used to further our understanding of the physiologic basis of typical and disordered speech development. Physiologic work has revealed that the emergence of speech is highly dependent on the lack of flexibility in the early oromotor system. It also has been determined that the progression of speech motor development is non-linear, a finding that has motivated researchers to investigate how variables such as oromotor control, cognition, and linguistic factors affect speech development in the form of catalysts and constraints. Physiologic data are also being used to determine if non-speech oromotor behaviors play a role in the development of speech. This improved understanding of the physiology underlying speech, as well as the factors influencing its progression, helps inform our understanding of speech motor control in children with disordered speech and provide a framework for theory-driven therapeutic approaches to treatment.


2012 ◽  
Vol 22 (5) ◽  
pp. 226-234 ◽  
Author(s):  
Beate Peter ◽  
Mark Matsushita ◽  
Wendy H. Raskind

2020 ◽  
Vol 43 (1) ◽  
pp. 29-45
Author(s):  
Alex Noel Joseph Raj ◽  
Ruban Nersisson ◽  
Vijayalakshmi G. V. Mahesh ◽  
Zhemin Zhuang

Nipple is a vital landmark in the breast lesion diagnosis. Although there are advanced computer-aided detection (CADe) systems for nipple detection in breast mediolateral oblique (MLO) views of mammogram images, few academic works address the coronal views of breast ultrasound (BUS) images. This paper addresses a novel CADe system to locate the Nipple Shadow Area (NSA) in ultrasound images. Here the Hu Moments and Gray-level Co-occurrence Matrix (GLCM) were calculated through an iterative sliding window for the extraction of shape and texture features. These features are then concatenated and fed into an Artificial Neural Network (ANN) to obtain probable NSA’s. Later, contour features, such as shape complexity through fractal dimension, edge distance from the periphery and contour area, were computed and passed into a Support Vector Machine (SVM) to identify the accurate NSA in each case. The coronal plane BUS dataset is built upon our own, which consists of 64 images from 13 patients. The test results show that the proposed CADe system achieves 91.99% accuracy, 97.55% specificity, 82.46% sensitivity and 88% F-score on our dataset.


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