Purpose: A systematic search and review of published studies was conducted on the use of
automated speech analysis (ASA) tools for analysing and modifying speech of typically …

Purpose: This tutorial summarizes current practices using visual–acoustic biofeedback
(VAB) treatment to improve speech outcomes for individuals with speech sound difficulties …

Although there is substantial rationale for a motor component in the speech of persons with
Down syndrome (DS), there presently are no published estimates of the prevalence of …

Purpose: Although mobile apps are used extensively by speech-language pathologists,
evidence for app-based treatments remains limited in quantity and quality. This study …

Background Speech sound disorder in childhood poses a barrier to academic and social
participation, with potentially lifelong consequences for educational and occupational …

Purpose: This study aimed to identify predictors of response to treatment for residual speech
sound disorder (RSSD) affecting English rhotics. Progress was tracked during an initial …

Purpose: Thousands of technological applications (apps) have emerged in the past decade,
yet few studies have examined how apps are used by speech-language pathologists …

A growing body of research suggests that cases of speech sound errors that have not
responded to previous intervention can sometimes be eliminated through speech therapy …

Purpose: Automatic speech analysis (ASA) and automatic speech recognition systems are
increasingly being used in the treatment of speech sound disorders (SSDs). When utilized …

Purpose: A current need in the field of speech–language pathology is the development of
reliable and efficient techniques to evaluate accuracy of speech targets over the course of …