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Meredith Moore
Meredith Moore
Assistant Professor of Computer Science at Drake University
Verified email at drake.edu - Homepage
Title
Cited by
Cited by
Year
Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems
M Moore, H Venkateswara, S Panchanathan
Interspeech 2018, 2018
382018
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make
M Moore, M Saxon, H Venkateswara, V Berisha, S Panchanathan
Proc. Interspeech 2019, 2528-2532, 2019
152019
Design of an Enhanced Disc Golf Game to Facilitate Players with Visual Impairments
K Glattke, B Fakhri, C Heath, M Moore, M Rahimi
International Conference on Applied Human Factors and Ergonomics, 328-335, 2018
42018
Computer Vision for Augmentative and Alternative Communication
S Panchanathan, M Moore, H Venkateswara, S Chakraborty, T McDaniel
Computer Vision for Assistive Healthcare, 211-248, 2018
42018
UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech
M Moore, P Papreja, M Saxon, V Berisha, S Panchanathan
Interspeech 2020, 2532--2536, 2020
32020
Speech Recognition for Individuals with Voice Disorders
M Moore
Multimedia for Accessible Human Computer Interfaces, 115-144, 2021
22021
"I'm Having Trouble Understanding You Right Now": A Multi-Dimensional Evaluation of the Intelligibility of Dysphonic Speech
M Moore
Arizona State University, 2020
22020
The Blind Date: Improving the Accessibility of Mobile Dating Applications for Individuals with Visual Impairments
M Moore, C Heath, T McDaniel, S Panchanathan
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
22019
TranslatAble: Giving Individuals with Complex Communication Needs a Voice through Speech and Gesture Recognition
M Moore, S Panchanathan
Proceedings of the 18th International ACM SIGACCESS Conference on Computers …, 2016
12016
Strategies for Equitable Participation in an Introductory Computer Science Course
M Moore, T Urness
Journal of Computing Sciences in Colleges 38 (4), 48-57, 2022
2022
Designing Voice-Assistive Technologies: Enhancing the Quality and Intelligibility of Pathological Speech
M Moore
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