The current investigation examined the intelligibility of digitized speech recorded from typically developing child speakers, ages 4, 5, 6, and 7 years, and reproduced on an augmentative and alternative communication (AAC) device with digitized speech output. The study used a between group design. Forty adults were asked to transcribe 120 words spoken by child speakers in one of the age groups, and presented on an AAC device with digitized speech output. The dependent variable was intelligibility (percent of words correctly identified) of the children's speech. Overall, the intelligibility of children's speech increases with the age of the child speaker. However, there was a lot of individual variation in the intelligibility of children's voices. There was no clear cut-off age, although the speech of some young children may not be sufficiently intelligible on an AAC device that uses digitized speech. Clinicians and parents choosing child speakers for AAC devices with digitized speech are cautioned to carefully consider the speakers used for recording digitized speech output and the characteristics of the speech of the individual speaker. Future research directions are discussed.
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http://dx.doi.org/10.3109/07434618.2012.704524 | DOI Listing |
Sci Data
January 2025
Norwegian Institute of Public Health and Department of Health Management and Health Economics, University of Oslo, Oslo, 0316, Norway.
Recent advancements in computing power and machine learning techniques have facilitated the digitization of new corpora, as well as new methods for studying high-dimensional data. This has enabled empirical investigations of fundamental questions in the social sciences that were previously restricted by technical limitations or data availability. In this note, we introduce a new dataset covering debates in the Norwegian Parliament in the 1945-2024 period.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Background: An increase in the prevalence of neurodevelopmental conditions worldwide, alongside resource constraints within clinical services, has led to increased interest in health information technologies, such as apps and digital resources. Digital tools are often viewed as a solution to bridge this divide and to increase supports for families. There is, however, a paucity of research that has evaluated digital health tools, their potential benefits for child neurodevelopment and associated concerns (eg, mental health, well-being), and their benefit for families.
View Article and Find Full Text PDFIndian J Plast Surg
December 2024
Department of Radiodiagnosis, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
J Acoust Soc Am
December 2024
Vanderbilt University, Nashville, Tennessee 37232, USA.
This study (1) characterized the effects of channel interaction using spectral blurring, (2) evaluated an image-guided electrode selection (IGES) method aiming to reduce channel interaction, and (3) investigated the impact of electrode placement factors on the change in performance by condition. Twelve adult MED-EL (Innsbruck, Austria) cochlear implant recipients participated. Performance was compared across six conditions: baseline (no blurring), all blurred, apical blurred, middle blurred, basal blurred, and IGES.
View Article and Find Full Text PDFJAMIA Open
February 2025
Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam 14482, Germany.
Objective: To improve performance of medical entity normalization across many languages, especially when fewer language resources are available compared to English.
Materials And Methods: We propose xMEN, a modular system for cross-lingual (x) medical entity normalization (MEN), accommodating both low- and high-resource scenarios. To account for the scarcity of aliases for many target languages and terminologies, we leverage multilingual aliases via cross-lingual candidate generation.
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