article

Universal access to communication and learning: the role of automatic speech recognition

Authors:

Mike Wald,

Keith BainAuthors Info & Claims

Universal Access in the Information Society, Volume 6, Issue 4

Pages 435 - 447

https://doi.org/10.1007/s10209-007-0093-9

Published: 30 January 2008 Publication History

Abstract

This communication discusses how automatic speech recognition (ASR) can support universal access to communication and learning through the cost-effective production of text synchronised with speech and describes achievements and planned developments of the Liberated Learning Consortium to: support preferred learning and teaching styles; assist those who for cognitive, physical or sensory reasons find notetaking difficult; assist learners to manage and search online digital multimedia resources; provide automatic captioning of speech for deaf learners or when speech is not available or suitable; assist blind, visually impaired or dyslexic people to read and search material; and, assist speakers to improve their communication skills.

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Wenzel KDevireddy NDavison CKaufman G(2023)Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech RecognitionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581357(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581357
Suzuki IYamamoto KShitara AHyakuta RIijima ROchiai Y(2022)See-Through Captions in a Museum Guided Tour: Exploring Museum Guided Tour for Deaf and Hard-of-Hearing People with Real-Time Captioning on Transparent DisplayComputers Helping People with Special Needs10.1007/978-3-031-08648-9_64(542-552)Online publication date: 11-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08648-9_64
Yamamoto KSuzuki IShitara AOchiai Y(2021)See-Through Captions: Real-Time Captioning on Transparent Display for Deaf and Hard-of-Hearing PeopleProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3476551(1-4)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3476551
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Universal access to communication and learning: the role of automatic speech recognition

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Published In

Universal Access in the Information Society Volume 6, Issue 4

January 2008

128 pages

ISSN:1615-5289

EISSN:1615-5297

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Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 30 January 2008

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Wenzel KDevireddy NDavison CKaufman G(2023)Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech RecognitionProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581357(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581357
Suzuki IYamamoto KShitara AHyakuta RIijima ROchiai Y(2022)See-Through Captions in a Museum Guided Tour: Exploring Museum Guided Tour for Deaf and Hard-of-Hearing People with Real-Time Captioning on Transparent DisplayComputers Helping People with Special Needs10.1007/978-3-031-08648-9_64(542-552)Online publication date: 11-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08648-9_64
Yamamoto KSuzuki IShitara AOchiai Y(2021)See-Through Captions: Real-Time Captioning on Transparent Display for Deaf and Hard-of-Hearing PeopleProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3476551(1-4)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3476551
Butler JTrager BBehm BBigham JAzenkot SKane S(2019)Exploration of Automatic Speech Recognition for Deaf and Hard of Hearing Students in Higher Education ClassesProceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3308561.3353772(32-42)Online publication date: 24-Oct-2019
https://dl.acm.org/doi/10.1145/3308561.3353772
Jain DChinh BFindlater LKushalnagar RFroehlich JKoskinen ILim YCerratto-Pargman TChow KOdom W(2018)Exploring Augmented Reality Approaches to Real-Time CaptioningProceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems10.1145/3197391.3205404(7-11)Online publication date: 30-May-2018
https://dl.acm.org/doi/10.1145/3197391.3205404
Hwang WLi YShadiev R(2018)Exploring effects of discussion on visual attention, learning performance, and perceptions of students learning with STR-supportComputers & Education10.1016/j.compedu.2017.09.015116:C(225-236)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1016/j.compedu.2017.09.015
Zempo KKurahashi TMizutani KWakatsuki NGutierrez DHuang H(2017)Speech balloon system using single-channel microphone array on see-through head-mounted displaySIGGRAPH Asia 2017 Posters10.1145/3145690.3145738(1-2)Online publication date: 27-Nov-2017
https://dl.acm.org/doi/10.1145/3145690.3145738
Huang YShadiev RHwang W(2016)Investigating the effectiveness of speech-to-text recognition applications on learning performance and cognitive loadComputers & Education10.1016/j.compedu.2016.05.011101:C(15-28)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.compedu.2016.05.011
Shadiev RHuang Y(2016)Facilitating cross-cultural understanding with learning activities supported by speech-to-text recognition and computer-aided translationComputers & Education10.1016/j.compedu.2016.03.01398:C(130-141)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.compedu.2016.03.013
Prietch Sde Souza NFilgueiras LSánchez JRodríguez LFortes R(2015)Application Requirements for Deaf Students to use in Inclusive ClassroomsProceedings of the Latin American Conference on Human Computer Interaction10.1145/2824893.2824898(1-8)Online publication date: 18-Nov-2015
https://dl.acm.org/doi/10.1145/2824893.2824898
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Using augmented reality and automatic speech recognition techniques to help deaf and hard of hearing people

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Using Automatic Speech Recognition to Facilitate Communication Between an Individual who is Hearing and One who is Deaf or Hard of Hearing

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