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Ke Sun – ProQuest LLC, 2024
Ubiquitous acoustic sensors and actuators, i.e., microphones and loudspeakers, are among the most common components in consumer electronic devices. Traditionally, these components have been primarily used for sound-related tasks, including voice-user interfaces, sound playback, and sound event detection. However, with the growing demand for…
Descriptors: Acoustics, Audio Equipment, Learning Modalities, Speech Communication
Umut Zeki; Tolgay Karanfiller; Kamil Yurtkan – Education and Information Technologies, 2024
The developmental, characteristics and educational competencies of students who need special education are developing slowly in compared to their agemates. This is because their expressive language is different. In order to overcome these challenges, assistive technologies can be used under the supervision of the teachers. In this paper, a person…
Descriptors: Special Education, Expressive Language, Assistive Technology, Artificial Intelligence
Liew, Tze Wei; Tan, Su-Mae; Pang, Wei Ming; Khan, Mohammad Tariqul Islam; Kew, Si Na – Education and Information Technologies, 2023
Modern text-to-speech voices can convey social cues ideal for narrating multimedia learning materials. Amazon Alexa has a unique feature among modern text-to-speech vocalizers as she can infuse enthusiasm cues into her synthetic voice. In this first study examining modern text-to-speech voice enthusiasm effects in a multimedia learning…
Descriptors: Artificial Intelligence, Audio Equipment, Assistive Technology, Speech Communication
Wess, Jessica M.; Bernstein, Joshua G. W. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: For listeners with single-sided deafness, a cochlear implant (CI) can improve speech understanding by giving the listener access to the ear with the better target-to-masker ratio (TMR; head shadow) or by providing interaural difference cues to facilitate the perceptual separation of concurrent talkers (squelch). CI simulations presented…
Descriptors: Auditory Perception, Speech Communication, Deafness, Assistive Technology
Renu Balyan; Tracy Arner; Tong Li; Ellen Orcutt; Reese Butterfuss; Panayiota Kendeou; Danielle McNamara – Grantee Submission, 2022
Speech technology (automated speech recognition -- ASR and text-to-speech) offers great promise in the field of automated literacy and reading tutors for children. Students in third and fourth grades struggle with generating longer strings of text on a QWERTY keyboard because they still "hunt and peck" for AQ1 the letters and symbols…
Descriptors: Assistive Technology, Technology Integration, Intelligent Tutoring Systems, Automation
Yang, Jing; Xu, Li – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purpose of this study was to characterize the acoustic profile and to evaluate the intelligibility of vowel productions in prelingually deafened, Mandarin-speaking children with cochlear implants (CIs). Method: Twenty-five children with CIs and 20 age-matched children with normal hearing (NH) were recorded producing a list of Mandarin…
Descriptors: Mandarin Chinese, Deafness, Vowels, Acoustics
Hong, Szu-Wei; Chan, Roger W. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study examined the acoustic properties of Taiwanese (Southern Min) lexical tones produced in esophageal speech (ES) and pneumatic artificial laryngeal speech (PAL), including onset fundamental frequency (F0), slope of F0 contour, duration, and amplitude (intensity) of the vowel portion of syllables carrying seven Taiwanese tones.…
Descriptors: Acoustics, Speech Communication, Intonation, Vowels
Gustafson, Samantha J.; Ricketts, Todd A.; Picou, Erin M. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study sought to evaluate the effects of common hearing aid microphone technologies on speech recognition and listening effort, and to evaluate potential predictive factors related to microphone benefits for school-age children with hearing loss in a realistic listening situation. Method: Children (n = 17, ages 10-17 years) with…
Descriptors: Individual Differences, Audio Equipment, Hearing Impairments, Task Analysis
Bosen, Adam K.; Barry, Michael F. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The goal of this study was to determine how various aspects of cognition predict speech recognition ability across different levels of speech vocoding within a single group of listeners. Method: We tested the ability of young adults (N = 32) with normal hearing to recognize Perceptually Robust English Sentence Test Open-set (PRESTO)…
Descriptors: Recall (Psychology), Schemata (Cognition), Intelligence Tests, Individual Differences
Lowenstein, Joanna H.; Nittrouer, Susan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Child phonologists have long been interested in how tightly speech input constrains the speech production capacities of young children, and the question acquires clinical significance when children with hearing loss are considered. Children with sensorineural hearing loss often show differences in the spectral and temporal structures of…
Descriptors: Phonology, Linguistic Input, Speech Communication, Hearing Impairments
Escera, Carles; López-Caballero, Fran; Gorina-Careta, Natàlia – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The purpose of this study was to run a proof of concept on a new commercially available device, Forbrain® (Sound For Life Ltd/Soundev, Luxemburg, model UN38.3), to test whether it can modulate the speech of its users. Method: Participants were instructed to read aloud a text of their choice during 3 experimental phases: baseline, test,…
Descriptors: Feedback (Response), Speech Communication, Assistive Technology, Statistical Analysis
Thiemann-Bourque, Kathy S.; McGuff, Sara; Goldstein, Howard – Journal of Speech, Language, and Hearing Research, 2017
Purpose: This study examined effects of a peer-mediated intervention that provided training on the use of a speech-generating device for preschoolers with severe autism spectrum disorder (ASD) and peer partners. Method: Effects were examined using a multiple probe design across 3 children with ASD and limited to no verbal skills. Three peers…
Descriptors: Pervasive Developmental Disorders, Autism, Preschool Children, Assistive Technology
Lorah, Elizabeth R. – Focus on Autism and Other Developmental Disabilities, 2018
There has been an increased interest in research evaluating the use of handheld computing technology as speech-generating devices (SGD) for children with autism. However, given the reliance on single-subject research methodology, replications of these investigations are necessary. This study presents a replication with variation, of a method for…
Descriptors: Autism, Pervasive Developmental Disorders, Handheld Devices, Child Behavior
Carnett, Amarie; Ingvarsson, Einar T. – Analysis of Verbal Behavior, 2016
The current study systematically replicates and extends the findings of Ingvarsson and Hollobaugh (2010) by teaching a boy with autism who used a speech-generating device to mand for answers to unknown questions. The effects of the intervention were evaluated via a multiple baseline across stimulus sets. The intervention resulted in acquisition of…
Descriptors: Autism, Speech Communication, Audio Equipment, Assistive Technology
Grandon, Bénédicte; Vilain, Anne; Gillis, Steven – First Language, 2019
This study explores the use of F0, intensity and duration in the production of two types of prominences in French: primary accent with duration as the main acoustic cue, and secondary accent with F0 and intensity as acoustic cues. These parameters were studied in 13 children using a cochlear implant (CI) and 17 children with a normal hearing (NH),…
Descriptors: Native Language, Language Acquisition, French, Pronunciation
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