Active clinical trials for "Speech Sound Disorder"

The goal of this randomized-controlled trial is to compare distributed treatment schedules and intensive treatment schedules in 84 school-age children with residual speech sound disorders. The main question it aims to answer is: How does intensive and distributed treatment affect speech sound learning in residual speech sound disorder? Some participants will be treated with a traditional Distributed schedule of 2 sessions per weeks for 8 weeks (16 hours total), whereas others will be treated with an Intensive schedule and will complete 16 hours of treatment in 4 weeks.

The goal of this randomized-controlled trial is to determine how artificial intelligence-assisted home practice may enhance speech learning of the "r" sound in school-age children with residual speech sound disorders. All child participants will receive 1 speech lesson per week, via telepractice, for 5 weeks with a human speech-language clinician. Some participants will receive 3 speech sessions per week with an Artificial Intelligence (AI)-clinician during the same 5 weeks as the human clinician sessions (CONCURRENT treatment order group), whereas others will receive 3 speech sessions per week with an AI-clinician after the human clinician sessions end (SEQUENTIAL treatment order group.

This study aims to evaluate the relative efficacy of biofeedback and traditional treatment for residual speech errors when both are delivered via telepractice. In a single-case randomization design, up to eight children with RSE will receive both visual-acoustic biofeedback and traditional treatment via telepractice. Acoustic measures of within-session change will be compared across sessions randomly assigned to each condition. It is hypothesized that participants will exhibit a clinically significant overall treatment response and that short-term measures of change will indicate that biofeedback is associated with larger increments of progress than traditional treatment.

Phonological disorder (PD) and specific language impairment (SLI) directly impact a child's ability to communicate and are among the most prevalent developmental disorders. The proposed experiments manipulate the complexity of treatment targets to identify the most efficacious treatment approaches for English- and Spanish-speaking children aged 3 to 6 years who present with these disorders. This research will reveal the nature of interactions between sound and structure in language for these children and will have significant implications for a unique approach to target selection when treating persistent phonological and grammatical difficulties in children with PD, SLI, or both.

The goal of this clinical trial is to learn about (1) how speech skills can be measured and how various tests give speech therapists different types of information for children with speech sound disorder, and (2) whether changes occur in the amount of help children need when they work on easier sounds or harder sounds during treatment. The main questions this study aims to answer are: (1) what does one type of test (dynamic assessment) tell us about speech skills compared to another type of test (static assessment), and (2) does practice of easier or harder sounds show differences in progress. Participants will complete 16 sessions of speech treatment called "modified cycles treatment", and will complete several speech and language tests before, during, and after treatment by pointing to pictures, and saying sounds, words, and sentences.

The aim of this study is to verify phonological and auditory aspects of children submitted to traditional phonological therapy, phonological therapy using a software and placebo therapy in children with phonological disorders.

Late-acquired sounds, such as /r/ are difficult to learn and many children experience persistent errors on these sounds. The purpose of the present study is to determine whether treating these sounds earlier in the child's life may result in better outcomes.

Children with speech sound disorder show diminished accuracy and intelligibility in spoken communication and may thus be perceived as less capable or intelligent than peers, with negative consequences for both socioemotional and socioeconomic outcomes. While most speech errors resolve by the late school-age years, between 2-5% of speakers exhibit residual speech errors (RSE) that persist through adolescence or even adulthood, reflecting about 6 million cases in the US. Both affected children/families and speech-language pathologists (SLPs) have highlighted the critical need for research to identify more effective forms of treatment for children with RSE. In a series of single-case experimental studies, research has found that treatment incorporating technologically enhanced sensory feedback (visual-acoustic biofeedback, ultrasound biofeedback) can improve speech in individuals with RSE who have not responded to previous intervention. Further research is needed to understand heterogeneity across individuals in the magnitude of response to biofeedback treatment. The overall objective of this proposal is to conduct clinical research that will guide the evidence-based management of RSE while also providing novel insights into the sensorimotor underpinnings of speech. The central hypothesis is that individual deficit profiles will predict relative response to visual-acoustic vs ultrasound biofeedback. From the larger population of children with RSE evaluated as part of C-RESULTS-RCT (Correcting Residual Errors With Spectral, Ultrasound, Traditional Speech Therapy Randomized Controlled Trial), a subset of 8 children will be selected who show a deficit in one domain (auditory or somatosensory) and intact perception in the other. Single-case methods will be used to test the hypothesis that sensory deficit profiles differentially predict response to visual-acoustic vs ultrasound biofeedback.

Previous research suggests that biofeedback can outperform traditional interventions for RSE, but no controlled studies have tested this hypothesis in the context of app-delivered biofeedback. The objective of this aim is to use the staRt app to test our working hypothesis that speakers will make larger gains in /r/ accuracy when app-based treatment incorporates biofeedback, compared to a non-biofeedback condition. With a network of cooperating SLPs, this project will recruit 15 children with /r/ misarticulation to receive 8 weeks of intervention using staRt. Individual sessions will be randomly assigned to include or exclude the visual biofeedback display. Randomization tests will be used to evaluate, for each individual, whether larger increments of change are associated with biofeedback and non-biofeedback sessions.

Children with speech sound disorders will receive speech therapy using real-time images of the tongue from ultrasound. These images will be used to cue the child to change the tongue position when producing speech sounds.