Purpose Video games provide a promising platform for rehabilitation of speech disorders. Although video games have been used to train speech perception in foreign language learners and have been proposed for aural rehabilitation, their use in speech therapy has been limited thus far. We present feasibility results from at-home use in a case series of children with velopharyngeal dysfunction (VPD) using an interactive video game that provided real-time biofeedback to facilitate appropriate nasalization. Method Five participants were recruited across a range of ages, VPD severities, and VPD etiologies. Participants completed multiple weeks of individual game play with a video game that provides feedback on nasalization measured via nasal accelerometry. Nasalization was assessed before and after training by using nasometry, aerodynamic measures, and expert perceptual judgments. Results Four participants used the game at home or school, with the remaining participant unwilling to have the nasal accelerometer secured to his nasal skin, perhaps due to his young age. The remaining participants showed a tendency toward decreased nasalization after training, particularly for the words explicitly trained in the video game. Conclusion Results suggest that video game–based systems may provide a useful rehabilitation platform for providing real-time feedback of speech nasalization in VPD. Supplemental Material https://doi.org/10.23641/asha.5116828

,ePurpose: This article describes the development and initial validation of an objective measure of nasal air emission (NAE) using nasal accelerometry. Method: Nasal acceleration and nasal airflow signals were simultaneously recorded while an expert speech language pathologist modeled NAEs at a variety of severity levels. In addition, microphone and nasal accelerometer signals were collected during the production of /pɑpɑpɑpɑ/ speech utterances by 25 children with and without cleft palate. Fourteen inexperienced raters listened to the microphone signals from the pediatric speakers and rated the samples for the severity of NAE using direct magnitude estimation. Mean listener ratings were compared to a novel quantitative measurement of NAE derived from the nasal acceleration signals.Results: Correlation between the nasal acceleration energy measure and the measured nasal airflow was high (r = .87). Correlation between the measure and auditory-perceptual ratings was moderate (r = .49). Conclusion:The measure presented here is quantitative and noninvasive, and the required hardware is inexpensive ($150). Future studies will include speakers with a wider range of NAE severity and etiology, including cleft palate, hearing impairment, or dysarthria. Further development will also involve validation of the measure against airflow measures across subjects.

Purpose Delayed auditory feedback (DAF) causes speakers to become disfluent and make phonological errors. Methods for assessing the kinematics of speech errors are lacking, with most DAF studies relying on auditory perceptual analyses, which may be problematic, as errors judged to be categorical may actually represent blends of sounds or articulatory errors. Method Eight typical speakers produced nonsense syllable sequences under normal and DAF (200 ms). Lip and tongue kinematics were captured with electromagnetic articulography. Time-locked acoustic recordings were transcribed, and the kinematics of utterances with and without perceived errors were analyzed with existing and novel quantitative methods. Results New multivariate measures showed that for 5 participants, kinematic variability for productions perceived to be error free was significantly increased under delay; these results were validated by using the spatiotemporal index measure. Analysis of error trials revealed both typical productions of a nontarget syllable and productions with articulatory kinematics that incorporated aspects of both the target and the perceived utterance. Conclusions This study is among the first to characterize articulatory changes under DAF and provides evidence for different classes of speech errors, which may not be perceptually salient. New methods were developed that may aid visualization and analysis of large kinematic data sets. Supplemental Material https://doi.org/10.23641/asha.5103067

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