Speech-Language Pathologists' Feelings and Practices Regarding Technological Apps in School Service Delivery.

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 (SLPs), their effectiveness, and SLPs' feelings regarding their use. This study explored how SLPs use apps and their feelings regarding their use in schools, as well as considerations made by SLPs prior to implementing apps in therapy sessions.

Method: A survey was distributed electronically to school-based SLPs in Ohio, yielding 69 valid responses.

Goodness and Accentedness Ratings of /hVt/ Tokens by Aware and Naive Listeners.

Purpose: This study compares goodness and accentedness ratings of speech tokens rated by listeners who are naive to and aware of speakers' native language backgrounds. Listener responses to open-ended questions regarding goodness and accentedness ratings are also examined.

Method: Twenty-eight monolingual speakers of U.

Using multiple measures to document change in English vowels produced by Japanese, Korean, and Spanish speakers: the case for goodness and intelligibility.

Purpose: This study examined the effectiveness of using goodness ratings and intelligibility scores to document changes in vowel production following pronunciation training. The relationship between listener perceptions of goodness and intelligibility was also examined.

Method: Fifteen English language learner speakers (5 Japanese, 5 Korean, and 5 Spanish) participated in 16 sessions of vowel-focused pronunciation training.

Acoustic quantification of /i/-/I/ overlap in children 21 to 33 months.

This longitudinal investigation examined the temporal and spectral characteristics of the high front vowels /i/ and /I/ as produced by nine monolingual US English children from 21-33 months. Vowel overlap was quantified in two-dimensional (F1, F2) and three-dimensional (F1, F2, duration) space using Spectral Overlap Assessment Measure (SOAM). These findings were compared with the results from Support Vector Machine (SVM) vowel classification, vowel duration ratios, and measures of effect size, to determine whether a spectral/temporal trading effect existed in the early vowel productions of young children.