Sign Language is the dominant form of communication language used in the Deaf and
hearing-impaired community. To make easy and mutual communication between the …

Sign languages are visual languages, with vocabularies as rich as their spoken language
counterparts. However, current deep-learning based Sign Language Production (SLP) …

This paper deals with a text-to-video sign language synthesis. Instead of direct video
production, we focused on skeletal models production. Our main goal in this paper was to …

Sign languages (SL) are the first language for most deaf people. Consequently, bidirectional
communication among deaf and non-deaf people has always been a challenging issue …

Signing avatars make it possible for deaf people to access information in their preferred
language. However, sign language synthesis represents a challenge for the computer …

This paper describes four corpora that have been designed and built in our research team.
These corpora have been recorded using motion capture (MoCap) and video equipment …

This paper describes our Czech sign language synthesis that converts a Czech text into a
series of skeletal poses. Our main goal is to avoid demanding handcrafted annotations of …

Signing avatars allow deaf people to access information in their preferred language using
an interactive visualization of the sign language spatio-temporal content. However, avatars …

Nearly 5% of the world population is hearing-impaired and uses a sign language as their
primary mode of communication. Unfortunately, sign languages are not commonly …

Recurrent neural networks (RNNs) are a popular family of models widely used when facing
sequential data such as videos. However, RNNs make assumptions about state transitions …