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Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis, Gierad Laput et autres
Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from written languages, such as English, into signed videos. However, current systems often fail to meet user needs due …
Dianna Yee, C. H. Lea, Jaya Narain, Zifang Huang et autres
C. H. Lea, Dianna Yee, Jaya Narain, Zifang Huang et autres
Many consumer speech recognition systems are not tuned for people with speech disabilities, resulting in poor recognition and user experience, especially for severe speech differences. Recent studies have emphasized interest in personalized speech models from people with atypical speech patterns. We propose …
C. H. Lea, Zifang Huang, Lauren Tooley, Jaya Narain et autres
Consumer speech recognition systems do not work as well for many people with speech diferences, such as stuttering, relative to the rest of the general population. However, what is not clear is the degree to which these systems do not work, how …
Jason Wu, Titus Barik, Xiaoyi Zhang, C. H. Lea et autres
Touch is the primary way that users interact with smartphones. However, building mobile user interfaces where touch interactions work well for all users is a difficult problem, because users have different abilities and preferences. We propose a system, Reflow, which automatically applies …
C. H. Lea, Zifang Huang, Dhruv Jain, Lauren Tooley et autres
Voice assistants have become an essential tool for people with various disabilities because they enable complex phone- or tablet-based interactions without the need for fine-grained motor control, such as with touchscreens. However, these systems are not tuned for the unique characteristics of …
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C. H. Lea, Vikramjit Mitra, Aparna Joshi, Sachin Kajarekar et autres
The ability to automatically detect stuttering events in speech could help\nspeech pathologists track an individual's fluency over time or help improve\nspeech recognition systems for people with atypical speech patterns. Despite\nincreasing interest in this area, existing public datasets are too small to\nbuild generalizable …
Professor Ernest Hondros CMG FRS DSc Dr d'U FIM CEng was a renowned British metallurgist and materials scientist, an innovator, leader, inspirational encourager, raconteur and friend to many. At the National Physical Laboratory in south west London, Hondros pioneered the measurement of …
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C. H. Lea, René Vidal, Austin Reiter, Gregory D. Hager
The dominant paradigm for video-based action segmentation is composed of two\nsteps: first, for each frame, compute low-level features using Dense\nTrajectories or a Convolutional Neural Network that encode spatiotemporal\ninformation locally, and second, input these features into a classifier that\ncaptures high-level temporal relationships, such …
William Gray Roncal, C. H. Lea, Akira Baruah, Gregory D. Hager
Developing automated and semi-automated solutions for reconstructing wiring\ndiagrams of the brain from electron micrographs is important for advancing the\nfield of connectomics. While the ultimate goal is to generate a graph of neuron\nconnectivity, most prior automated methods have focused on volume segmentation\nrather than …
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