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Journal Articles
- 2020
[j4]Sushant Kafle, Abraham Glasser
, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth:
Artificial intelligence fairness in the context of accessibility research on intelligent systems for people who are deaf or hard of hearing. ACM SIGACCESS Access. Comput. 125: 4 (2020)- 2019
- [j3]Larwan Berke, Matt Huenerfauth, Kasmira Patel:
Design and Psychometric Evaluation of American Sign Language Translations of Usability Questionnaires. ACM Trans. Access. Comput. 12(2): 6:1-6:43 (2019) - 2017
- [j2]Larwan Berke:
Displaying confidence from imperfect automatic speech recognition for captioning. ACM SIGACCESS Access. Comput. 117: 14-18 (2017) - 2016
- [j1]John McDonald, Rosalee J. Wolfe, Jerry Schnepp, Julie Hochgesang, Diana Gorman Jamrozik, Marie Stumbo, Larwan Berke, Melissa Bialek, Farah Thomas:
An automated technique for real-time production of lifelike animations of American Sign Language. Univers. Access Inf. Soc. 15(4): 551-566 (2016)
Conference and Workshop Papers
- 2020
- [c9]Larwan Berke, William Thies, Danielle Bragg:
Chat in the Hat: A Portable Interpreter for Sign Language Users. ASSETS 2020: 51:1-51:11 - [c8]Larwan Berke, Matthew Seita, Matt Huenerfauth:
Deaf and hard-of-hearing users' prioritization of genres of online video content requiring accurate captions. W4A 2020: 3:1-3:12 - 2019
- [c7]Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris:
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. ASSETS 2019: 16-31 - [c6]Larwan Berke, Khaled Albusays, Matthew Seita, Matt Huenerfauth:
Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers. CHI Extended Abstracts 2019 - 2018
- [c5]Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung, Matt Huenerfauth:
Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations. ASSETS 2018: 259-270 - [c4]Larwan Berke, Sushant Kafle, Matt Huenerfauth:
Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels. CHI 2018: 91 - 2017
- [c3]Larwan Berke, Christopher Caulfield, Matt Huenerfauth:
Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings. ASSETS 2017: 155-164 - [c2]Matt Huenerfauth, Kasmira Patel, Larwan Berke:
Design and Psychometric Evaluation of an American Sign Language Translation of the System Usability Scale. ASSETS 2017: 175-184 - 2014
- [c1]Rosalee J. Wolfe, John McDonald, Larwan Berke, Marie Stumbo:
Expanding n-gram analytics in ELAN and a case study for sign synthesis. LREC 2014: 1880-1885
Informal and Other Publications
- 2022
- [i3]Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, Matt Huenerfauth:
ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks. CoRR abs/2207.04021 (2022) - 2019
- [i2]Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris:
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. CoRR abs/1908.08597 (2019) - [i1]Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth:
Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing. CoRR abs/1908.10414 (2019)
Coauthor Index
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