| Evaluating the usability of automatically generated captions for people who are deaf or hard of hearing S Kafle, M Huenerfauth Proceedings of the 19th International ACM SIGACCESS Conference on Computers …, 2017 | 49 | 2017 |
| Evaluating the benefit of highlighting key words in captions for people who are deaf or hard of hearing S Kafle, P Yeung, M Huenerfauth Proceedings of the 21st International ACM SIGACCESS Conference on Computers …, 2019 | 33 | 2019 |
| Methods for evaluation of imperfect captioning tools by deaf or hard-of-hearing users at different reading literacy levels L Berke, S Kafle, M Huenerfauth Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 33 | 2018 |
| Modeling the speed and timing of American Sign Language to generate realistic animations S Al-Khazraji, L Berke, S Kafle, P Yeung, M Huenerfauth Proceedings of the 20th international ACM SIGACCESS conference on computers …, 2018 | 32 | 2018 |
| Behavioral changes in speakers who are automatically captioned in meetings with deaf or hard-of-hearing peers M Seita, K Albusays, S Kafle, M Stinson, M Huenerfauth Proceedings of the 20th International ACM SIGACCESS Conference on Computers …, 2018 | 26 | 2018 |
| Predicting the understandability of imperfect english captions for people who are deaf or hard of hearing S Kafle, M Huenerfauth ACM Transactions on Accessible Computing (TACCESS) 12 (2), 1-32, 2019 | 25 | 2019 |
| RIT Digital Institutional Repositor y S Kafle, M Huenerfauth | 16 | 2016 |
| A corpus for modeling word importance in spoken dialogue transcripts S Kafle, M Huenerfauth arXiv preprint arXiv:1801.09746, 2018 | 12 | 2018 |
| Artificial intelligence fairness in the context of accessibility research on intelligent systems for people who are deaf or hard of hearing S Kafle, A Glasser, S Al-Khazraji, L Berke, M Seita, M Huenerfauth ACM SIGACCESS Accessibility and Computing, 1-1, 2020 | 9 | 2020 |
| Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, and Matt Huenerfauth. 2020 S Kafle, A Glasser Artificial intelligence fairness in the context of accessibility research on …, 2020 | 9 | 2020 |
| Deaf and Hard-of-Hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos S Kafle, B Dingman, M Huenerfauth ACM Transactions on Accessible Computing (TACCESS) 14 (4), 1-24, 2021 | 5 | 2021 |
| Fusion Strategy for Prosodic and Lexical Representations of Word Importance. S Kafle, CO Alm, M Huenerfauth INTERSPEECH, 1313-1317, 2019 | 5 | 2019 |
| Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues S Kafle, CO Alm, M Huenerfauth arXiv preprint arXiv:1903.12238, 2019 | 4 | 2019 |
| Usability evaluation of captions for people who are deaf or hard of hearing S Kafle, M Huenerfauth ACM SIGACCESS Accessibility and Computing, 1-1, 2020 | 3 | 2020 |
| Modeling and predicting the location of pauses for the generation of animations of American Sign Language S Al-khazraji, S Kafle, M Huenerfauth sign-lang@ LREC 2018, 1-6, 2018 | 3 | 2018 |
| Word Importance Modeling to Enhance Captions Generated by Automatic Speech Recognition for Deaf and Hard of Hearing Users S Kafle Rochester Institute of Technology, 2019 | | 2019 |
Matt HuenerfauthProfessor, Rochester Institute of TechnologyVerified email at rit.edu
