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Jodie Mills; Orla Duffy; Katy Pedlow; W. George Kernohan – International Journal of Language & Communication Disorders, 2025
Background: People with neurological conditions such as Parkinson's Disease are at risk of speech and voice difficulties that impact volume, clarity of speech and intelligibility. Voice-assisted technology (VAT), such as Alexa, poorly recognises speech difficulties, and this often prompts people to change their speech to enable interaction. Aims:…
Descriptors: Neurological Impairments, Assistive Technology, Voice Disorders, Speech Impairments
Meiyun Wu; Haotian Liu; Xue Zhao; Li Lu; Yuyang Wang; Chaogang Wei; Yuhe Liu; Yu-Xuan Zhang – Developmental Science, 2025
To reveal the formation process of speech processing with early hearing experiences, we tracked the development of functional connectivity in the auditory and language-related cortical areas of 84 (36 female) congenitally deafened toddlers using repeated functional near-infrared spectroscopy for up to 36 months post cochlear implantation (CI).…
Descriptors: Speech Communication, Language Processing, Auditory Perception, Assistive Technology
André Markus; Maximilian Baumann; Jan Pfister; Andreas Hotho; Astrid Carolus; Carolin Wienrich – Discover Education, 2025
Intelligent Voice Assistants (IVAs) have become integral to many users' daily lives, using advanced algorithms to automate various tasks. Nevertheless, many users do not understand the underlying algorithms and how they work, posing potential risks to the competent and self-determined use of IVAs. This work develops three online training modules…
Descriptors: Algorithms, Digital Literacy, Training, Artificial Intelligence
Cychosz, Margaret; Mahr, Tristan; Munson, Benjamin; Newman, Rochelle; Edwards, Jan R. – Child Development, 2023
To learn language, children must map variable input to categories such as phones and words. How do children process variation and distinguish between variable pronunciations ("shoup" for "soup") versus new words? The unique sensory experience of children with cochlear implants, who learn speech through their device's degraded…
Descriptors: Preschool Children, Child Language, Pronunciation, Assistive Technology
Shin, Sujin; Warner-Czyz, Andrea; Geers, Ann; Katz, William F. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study examined the extent to which prelingual cochlear implant (CI) users show a slowed speaking rate compared with typical-hearing (TH) talkers when repeating various speech stimuli and whether the slowed speech of CI users relates to their immediate verbal memory. Method: Participants included 10 prelingually deaf teenagers who…
Descriptors: Grammar, Memory, Assistive Technology, Deafness
Xue, Kang; Barker, Elizabeth – NWEA, 2022
This study, which is part of a larger project that aims to make online math more accessible to students with visual impairments (VI), examines the text quality of math assessment items for students with VI who use screen readers. Using data from about 29.5 million students taking standard versions of the MAP Growth math assessment, and 48,845…
Descriptors: Distance Education, Online Courses, Mathematics, Visual Impairments
Christina Marie Blomquist – ProQuest LLC, 2023
The long-term objective of this project was to better understand how shorter auditory experience and spectral degradation of the cochlear implant (CI) signal impact spoken language processing in deaf children with CIs. The specific objective of this research was to utilize psycholinguistic methods to investigate the mechanisms underlying observed…
Descriptors: Speech Communication, Assistive Technology, Comparative Analysis, Hearing Impairments
Winn, Matthew B.; Teece, Katherine H. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Speech recognition percent correct scores fail to capture the effort of mentally repairing the perception of speech that was initially misheard. This study measured the effort of listening to stimuli specifically designed to elicit mental repair in adults who use cochlear implants (CIs). Method: CI listeners heard and repeated sentences…
Descriptors: Listening Skills, Assistive Technology, Speech Communication, Recognition (Psychology)
Salas-Pilco, Sdenka Zobeida; Yang, Yuqin – International Journal of Educational Technology in Higher Education, 2022
Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, Technology Uses in Education
Nittrouer, Susan; Lowenstein, Joanna H. – Journal of Speech, Language, and Hearing Research, 2023
Purpose: General language abilities of children with cochlear implants have been thoroughly investigated, especially at young ages, but far less is known about how well they process language in real-world settings, especially in higher grades. This study addressed this gap in knowledge by examining recognition of sentences with complex syntactic…
Descriptors: Syntax, Assistive Technology, Hearing (Physiology), Gender Differences
Pasquinelli, Rennie; Tessier, Anne Michelle; Karas, Zachary; Hu, Xiaosu; Kovelman, Ioulia – Journal of Speech, Language, and Hearing Research, 2023
Purpose: The fine-tuning of linguistic prosody in later childhood is poorly understood, and its neurological processing is even less well studied. In particular, it is unknown if grammatical processing of prosody is left- or rightlateralized in childhood versus adulthood and how phonological working memory might modulate such lateralization.…
Descriptors: Brain Hemisphere Functions, Lateral Dominance, Language Processing, Intonation

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