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Camryn Claire Terblanche; Michelle Pascoe; Michal Harty – International Journal of Language & Communication Disorders, 2025
Background: There is a global need for synthetic speech development in multiple languages and dialects, as many children who cannot communicate using their natural voice struggle to find synthetic voices on high-technology devices that match their age, social and linguistic background. Aims: To document multiple stakeholders' perspectives…
Descriptors: Stakeholders, Child Language, African Languages, Foreign Countries
Jolene Hyppa-Martin; Jason Lilley; Mo Chen; Jaclyn Friese; Corinne Schmidt; H. Timothy Bunnell – Augmentative and Alternative Communication, 2024
Amyotrophic lateral sclerosis (ALS) commonly results in the inability to produce natural speech, making speech-generating devices (SGDs) important. Historically, synthetic voices generated by SGDs were neither unique, nor age- or dialect-appropriate, which depersonalized SGD use. Voices generated by SGDs can now be customized via voice banking and…
Descriptors: Intelligibility, Speech Impairments, Artificial Speech, Voice Disorders
Mo Chen; Jolene Hyppa-Martin; H. Timothy Bunnell; Jason Lilley; Celestine Foo; Han Wei Tan; Wei Shun Lim – Augmentative and Alternative Communication, 2023
Voice banking involves recording an inventory of sentences produced via natural speech. The recordings are used to create a synthetic text-to-speech voice that can be installed on speech-generating devices. This study highlights a minimally researched, clinically relevant issue surrounding the development and evaluation of Singaporean-accented…
Descriptors: Foreign Countries, Audio Equipment, Adults, Participant Satisfaction
Miller, Sharon E.; Graham, Jessica; Schafer, Erin – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Auditory sensory gating is a neural measure of inhibition and is typically measured with a click or tonal stimulus. This electrophysiological study examined if stimulus characteristics and the use of speech stimuli affected auditory sensory gating indices. Method: Auditory event-related potentials were elicited using natural speech,…
Descriptors: Auditory Perception, Brain, Inhibition, Auditory Stimuli
Kaya, Feyat; Yucesoy-Ozkan, Serife – Education and Treatment of Children, 2022
In this study, we compared the effectiveness and efficiency of self-directed video prompting with and without voice-over narration for teaching daily living skills to children with autism spectrum disorder (ASD). The participants included four males between the ages of 10 to 14 years with ASD. We used an adapted alternating treatments design to…
Descriptors: Independent Study, Video Technology, Prompting, Artificial Speech
Michal Cerny – Journal of Educators Online, 2023
This study aims to analyze how professionals preparing to use technology in education reflect on the phenomenon of chatbots as learning objects. The study is divided into two parts. For the first part of the study, 17 studies indexed in the Web of Science database that focus on using chatbots in education were selected for a systematic review.…
Descriptors: Technology Uses in Education, Artificial Intelligence, Computer Mediated Communication, Educational Technology
Cave, Richard; Bloch, Steven – International Journal of Language & Communication Disorders, 2021
Background: More than 80% of people living with MND (plwMND) develop difficulties with their speech, affecting communication, self-identity and quality of life. Most plwMND eventually use an augmentative and alternative communication device (AAC) to communicate. Some AAC devices provide a synthesized voice for speech, however these voices are…
Descriptors: Speech Impairments, Augmentative and Alternative Communication, Artificial Speech, Assistive Technology
Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
Frankel, Lois; Brownstein, Beth; Soiffer, Neil; Hansen, Eric – ETS Research Report Series, 2016
The work described in this report is the first phase of a project to provide easy-to-use tools for authoring and rendering secondary-school algebra-level math expressions in synthesized speech that is useful for students with blindness or low vision. This report describes the initial development, software implementation, and evaluation of the…
Descriptors: Algebra, Automation, Secondary School Mathematics, Artificial Speech
Frankel, Lois; Brownstein, Beth – ETS Research Report Series, 2016
The work described in this report is the second phase of a project to provide easy-to-use tools for authoring and rendering secondary-school algebra-level math expressions in synthesized speech that is useful for students with blindness or low vision. This report describes the development and results of the second feedback study performed for our…
Descriptors: Artificial Speech, Suprasegmentals, Cues, Usability
Souza, Pamela E.; Wright, Richard A.; Blackburn, Michael C.; Tatman, Rachael; Gallun, Frederick J. – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The present study was designed to evaluate use of spectral and temporal cues under conditions in which both types of cues were available. Method: Participants included adults with normal hearing and hearing loss. We focused on 3 categories of speech cues: static spectral (spectral shape), dynamic spectral (formant change), and temporal…
Descriptors: Hearing Impairments, Cues, Adults, Speech Communication
Hochmann, Jean-Remy – Cognition, 2013
The classic gavagai problem exemplifies the difficulty to identify the referent of a novel word uttered in a foreign language. Here, we consider the reverse problem: identifying the referential part of a label. Assuming "gavagai" indicates a rabbit in a foreign language, it may very well mean ""a" rabbit" or ""that" rabbit". How can a learner know…
Descriptors: Word Frequency, Second Languages, Novelty (Stimulus Dimension), Identification
Prendergast, Garreth; Green, Gary G. R. – Brain and Language, 2012
Classical views of speech perception argue that the static and dynamic characteristics of spectral energy peaks (formants) are the acoustic features that underpin phoneme recognition. Here we use representations where the amplitude modulations of sub-band filtered speech are described, precisely, in terms of co-sinusoidal pulses. These pulses are…
Descriptors: Auditory Perception, Acoustics, Comprehension, Artificial Speech
Hoban, Garry; Nielsen, Wendy; Hyland, Christopher – International Journal of Mobile and Blended Learning, 2016
The aim of this study was to gather university student perspectives on a new type of assessment task requesting them to create "blended media". Blended media is a new form of student-generated multimedia whereby students devise a narration or voiceover to explain a science concept complemented by any combination of visuals such as video,…
Descriptors: Blended Learning, Multimedia Instruction, Multimedia Materials, Student Developed Materials
Goswami, Usha; Fosker, Tim; Huss, Martina; Mead, Natasha; Szucs, Denes – Developmental Science, 2011
Across languages, children with developmental dyslexia have a specific difficulty with the neural representation of the sound structure (phonological structure) of speech. One likely cause of their difficulties with phonology is a perceptual difficulty in auditory temporal processing (Tallal, 1980). Tallal (1980) proposed that basic auditory…
Descriptors: Dyslexia, Auditory Discrimination, Problems, Time