Search clinical trials by condition, location and status
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.
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 purpose of this research study is to evaluate the effectiveness of a hybrid Artificial Intelligence-assisted speech therapy model, which combines the use of an AI speech therapist (Jessica) with traditional speech therapy sessions led by a Speech-Language Pathologist (SLP). This study aims to determine whether the hybrid model improves articulation in children more effectively than traditional SLP-only therapy. Over the course of 8 weeks, participants will receive weekly therapy sessions, and those in the hybrid therapy group will also practice with Jessica between sessions. The study will also gather feedback from parents and speech therapists to assess their experiences and satisfaction with treatment.
The goal of this clinical trial is to evaluate the efficacy of sibilant biofeedback treatment delivered via telepractice in six children ages 8:0-17;11 who present with distortions of /s/. The main questions it aims to answer are: * Primary hypothesis: Biofeedback treatment for sibilants delivered via telepractice will produce positive gains compared to a no-treatment baseline phase. * Secondary hypothesis: Participants will experience positive changes in social-emotional well-being after receiving biofeedback treatment for sibilants as reported by the participants and their guardians. Following the initial evaluation, participants will be randomly assigned to transition from baseline to treatment at one of seven possible points, ranging from 4-10 baseline sessions in which /s/ production will be probed but not treated. All participants will then receive 20, 1-hour biofeedback treatment sessions over 10 weeks with a certified Speech-Language Pathologist via teletherapy, followed by three maintenance sessions.
The goal of this clinical trial is to determine whether perceptual training enhances speech perception and production outcomes in children with Residual Speech Sound Disorders (RSSD). The main questions it aims to answer are: Does pre-treatment speech production accuracy predict treatment response? Does perceptual acuity influence the effectiveness of perception-first versus production-first interventions? Researchers will compare TAU+Perception-first and TAU-first treatment conditions to see if the order of intervention affects speech improvement outcomes, particularly based on participants' initial perception and production accuracy. Participants will: Complete pre-treatment evaluations to assess /r/ production and speech perception. Be grouped into high or low production and perception accuracy categories based on established thresholds. Be randomly assigned (using a blocked randomization procedure) to one of two treatment arms via telepractice. Participate in the assigned treatment condition designed to target speech sound accuracy. Randomization is stratified to ensure treatment groups are balanced based on pre-treatment severity in both the perception and production domains.
Speech Sound Disorder (SSD) affects a significant portion of school-aged children, leading to social and emotional challenges that can persist into adolescence and adulthood. The number of productions necessary for a remediated speech sound to generalize to connected speech is challenging to achieve in practice, leading clinicians to call for accessible, reliable resources allowing children to continue therapy outside of direct clinical interactions. Artificial intelligence (AI) tools hold promise as a means to extend direct service delivery in speech-language pathology, but research investigating the topic has been limited. This study (Generalization with AI Navigation using staRt, or GAINS) will measure the effects of a course of AI-mediated home practice intended to promote generalization of gains made through biofeedback treatment in a related study, Visual-acoustic Intervention with Service Delivery In-person and Via Telepractice Trial (VISIT; NCT06517225).
Children with speech sound disorder show diminished intelligibility in spoken communication and may thus be perceived as less capable than peers, with negative consequences for both socioemotional and socioeconomic outcomes. New technologies have the potential to transform interventions for speech sound disorder, but there is a lack of rigorous evidence to substantiate this promise. This research will meet a public health need by systematically evaluating the efficacy of visual-acoustic biofeedback intervention delivered in-person versus via telepractice. The objective of this study is to test the hypothesis that treatment incorporating visual-acoustic biofeedback can be delivered via telepractice without a significant loss of efficacy. Participants will be randomly assigned to receive identical treatment either via online telepractice or in the laboratory setting. The same software for visual-acoustic biofeedback, staRt, will be used in both conditions. Participants' progress in treatment will be evaluated based on blinded listeners' perceptual ratings of probes produced before and after treatment. Pre and post treatment evaluations will be carried out in person for all participants.
The goal of this clinical trial is to learn which speech treatment targets result in the greatest amount of speech learning in Spanish-English bilingual children with speech sound disorders. The main questions it aims to answer are: * Does linguistic complexity of the treatment target increase the amount of generalized learning within the treated language? * Does linguistic complexity of the treatment target increase the amount of generalized speech across languages? Researchers will compare intervention effects across treatment provided in English and Spanish to see if the effect differs according to the language of intervention. Participants will: * Attend between 12 and 18 45-minute speech intervention sessions in Spanish or English for up to 6 weeks * Attend assessment visits before and after intervention * Attend follow-up assessment visits 1 month and 2 months after intervention
Recent research in motor control shows that people learn new movements best when they receive feedback external to the body. Traditional ultrasound speech therapy works well for many children, but involves teaching children to focus on their internal tongue movements. The goal of the study is to test whether ultrasound biofeedback delivered without showing children a display of their tongue movements will be effective as a treatment for residual speech sound disorders in children. We focus on children who have trouble producing the sound "r" as in "rabbit". The first aim is to develop a fast reliable system to track movements of different parts of the tongue using ultrasound and to identify which combinations of movements will produce a good "r" and which do not. The second aim is to develop a motivational game in which children receive feedback on the success of their tongue movements by what happens to an animated character on a screen. This developed version of ultrasound feedback therapy will be compared to the traditional version of ultrasound feedback therapy to determine how the two approaches can best be utilized in the clinic.
The focus of the current study is to systematically investigate the psychometric properties of a range of aided language measures, which are based on the Graphic Symbol Utterance and Sentence Development Framework (Binger \& Kent-Walsh).