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).
This study will measure the effects of AI-guided home practice as a follow-up to participation in a study of technology-enhanced treatment for speech sound disorder affecting the American English "r" sound. Participants will sign a single consent form that covers their participation in the original VISIT study (in which they are randomized to receive biofeedback treatment in person or via telepractice) and and the follow-up GAINS study (in which participants are randomized to a follow-up period of treatment as usual \[TAU\] or treatment as usual plus an AI-guided maintenance program with biofeedback \[TAU+AI\]).We will measure production accuracy at the start and end of GAINS to test our working hypothesis that children/adolescents with speech sound disorder will show higher accuracy in /r/ production after six weeks of TAU+AI than six weeks of TAU alone. All GAINS treatment sessions will be carried out in the home setting using online tools. Pre and post treatment evaluations will be carried out in the laboratory setting.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
76
Participants will complete AI-guided practice in the home setting in which they will interact with a web interface of the staRt web-based software for speech practice. The staRt software will present words to practice and show a real-time visual display of the acoustic signal of speech (biofeedback). On select trials, feedback will be provided by a classifier for children's "r" sounds, PERCEPT. Research assistants will join sessions to facilitate but will not provide direct clinical guidance to participants.
Participants will return to their regular community-based care. This may consist of treatment in the school setting or by a private SLP; participants who were not previously receiving treatment may return to a no-treatment condition. Data will be collected from parents/guardians to determine the frequency of treatment, if any, received during this phase.
Montclair State University
Bloomfield, New Jersey, United States
RECRUITINGSyracuse University
Syracuse, New York, United States
RECRUITING1. Percentage of "Correct" Ratings by Blinded Untrained Listeners for /r/ Sounds Produced in Word Probes
To assess generalization of treatment gains to untreated words, participants will be assessed with standard probes (30 words \[considered the primary target\], 20 syllables, and 10 sentences containing /r/ in various phonetic contexts). Stimuli in each probe will be presented individually in randomized order with blocking by stimulus type (word, syllable, sentence). Individual words will be isolated from the audio record of each word probe and presented in randomized order for binary rating (correct/incorrect) by 9 untrained listeners who are blind to treatment condition and time point, but will see the written representation of each target word. We will use the proportion of "correct" ratings for each token as our primary measure of perceptually rated accuracy.
Time frame: Immediately before the initiation of GAINS participation and again after the end of GAINS participation (6 weeks later)
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