Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 4 |
Descriptor
Source
| PEPNet-Northeast | 2 |
| Grantee Submission | 1 |
| National Center on… | 1 |
| Research and Curriculum Unit | 1 |
| Research-publishing.net | 1 |
Author
| Adams, Geanell | 1 |
| Francis, Pam | 1 |
| Jiaxi Li | 1 |
| Larson, Judy, Comp. | 1 |
| Lawrence Angrave | 1 |
| Lazarus, S. S. | 1 |
| Ninghan Zhong | 1 |
| Pérez Castillejo, Susana | 1 |
| Strunk, K. | 1 |
| Thurlow, M. L. | 1 |
| Warren, S. H. | 1 |
| More ▼ | |
Publication Type
| Reports - Descriptive | 6 |
| Speeches/Meeting Papers | 2 |
| Guides - Classroom - Teacher | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Secondary Education | 1 |
| Secondary Education | 1 |
| Two Year Colleges | 1 |
Audience
| Teachers | 1 |
Location
| Mississippi | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textPérez Castillejo, Susana – Research-publishing.net, 2021
Automatic Speech Recognition (ASR) is a digital communication method that transforms spoken discourse into written text. This rapidly evolving technology is used in email, text messaging, or live video captioning. Current ASR systems operate in conjunction with Natural Language Processing (NLP) technology to transform speech into text that people…
Descriptors: Automation, Assistive Technology, Educational Technology, Speech Communication
Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content
Warren, S. H.; Thurlow, M. L.; Lazarus, S. S.; Strunk, K. – National Center on Educational Outcomes, 2018
More than 45 individuals representing staff from state departments of education, school districts, testing and testing-related companies, and other educational organizations participated in a forum on June 26, 2018 in San Diego, California to discuss speech-to-text and scribing, the differences in terminology, challenges associated with…
Descriptors: Assistive Technology, Special Education, Transcripts (Written Records), Needs Assessment
Adams, Geanell – Research and Curriculum Unit, 2009
As the world economy continues to evolve, businesses and industries must adopt new practices and processes in order to survive. Quality and cost control, work teams and participatory management, and an infusion of technology are transforming the way people work and do business. Employees are now expected to read, write, and communicate…
Descriptors: Translation, Assistive Technology, Transcripts (Written Records), Television
Direct linkFrancis, Pam – PEPNet-Northeast, 2000
C-Print[TM] is a computer-aided speech-to-print transcription system developed at the National Technical Institute for the Deaf (NTID) as a support service option for some deaf and hard-of-hearing students in mainstream educational environments. It was developed by NTID researchers eager to improve the classroom experience for students at both the…
Descriptors: Printed Materials, Deafness, Transcripts (Written Records), Secondary Schools
Larson, Judy, Comp. – PEPNet-Northeast, 1999
Communication Access Realtime Translation--(CART)--is the instant translation of the spoken word into English text performed by a CART reporter using a stenotype machine, notebook computer and realtime software. The text is then displayed on a computer monitor or other display device for the student who is deaf or hard of hearing to read. This…
Descriptors: Translation, Learning Disabilities, Computer Software, Educational Technology
