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Found 3 papers, 1 papers with code
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition
In this paper, we propose novel stochastic modeling of various components of a continuous sign language recognition (CSLR) system that is based on the transformer encoder and connectionist temporal classification (CTC).
Ranked #11 on
Sign Language Recognition
on RWTH-PHOENIX-Weather 2014 T
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
The dataset is collected to enrich resources for HKSL and support research in large-vocabulary continuous sign language recognition (SLR) and translation (SLT).
On the Audio-visual Synchronization for Lip-to-Speech Synthesis
Most lip-to-speech (LTS) synthesis models are trained and evaluated under the assumption that the audio-video pairs in the dataset are perfectly synchronized.
