no code implementations • SLTAT (LREC) 2022 • Ronan Johnson
Facial movements and expressions are critical features of signed languages, yet are some of the most challenging to reproduce on signing avatars.
no code implementations • SLTAT (LREC) 2022 • John McDonald, Ronan Johnson, Rosalee Wolfe
An avatar that produces legible, easy-to-understand signing is one of the essential components to an effective automatic signed/spoken translation system.
no code implementations • SLTAT (LREC) 2022 • Rosalee Wolfe, John McDonald, Ronan Johnson, Ben Sturr, Syd Klinghoffer, Anthony Bonzani, Andrew Alexander, Nicole Barnekow
This paper describes efforts to improve avatar mouthing by addressing these challenges, resulting in a new approach for mouthing animation.
no code implementations • LREC 2020 • Ronan Johnson, Rosalee Wolfe
Of the five phonemic parameters in sign language (handshape, location, palm orientation, movement and nonmanual expressions), the one that still poses the most challenges for effective avatar display is nonmanual signals.