no code implementations • 19 Jan 2023 • Boris Mocialov, Eirik Eythorsson, Reza Parseh, Hoang Tran, Vegard Flovik
This work takes a look at data models often used in digital twins and presents preliminary results specifically from surface reconstruction and semantic segmentation models trained using simulated data.
no code implementations • 24 May 2022 • Boris Mocialov, Graham Turner, Helen Hastie
Signers compose sign language phonemes that enable communication by combining phonological parameters such as handshape, orientation, location, movement, and non-manual features.
no code implementations • 21 May 2022 • Boris Mocialov, Graham Turner, Helen Hastie
Traditionally, sign language resources have been collected in controlled settings for specific tasks involving supervised sign classification or linguistic studies accompanied by specific annotation type.
no code implementations • LREC 2020 • Boris Mocialov, Graham Turner, Helen Hastie
Access to sign language data is far from adequate.
no code implementations • COLING 2018 • Boris Mocialov, Graham Turner, Helen Hastie
Automatic speech recognition and spoken dialogue systems have made great advances through the use of deep machine learning methods.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4