Necati Cihan Camgöz — accepted AI-conference papers

2021

SeeHear: Signer Diarisation and a New Dataset

Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Andrew Brown, Chuhan Zhang +8

ICASSP 2021accepted

In this work, we propose a framework to collect a large-scale, diverse sign language dataset that can be used to train automatic sign language recognition models.The first contribution of this work is SDTrack, a generic method for signer tracking and diarisation in the wild. Our second contribution…

Cited by 0 Source ↗Scholar ↗

2019

HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing

Sandrine Tornay, Marzieh Razavi, Necati Cihan Camgöz, Richard Bowden, Mathew Magimai-Doss

ICASSP 2019accepted

Sign language conveys information through multiple channels, such as hand shape, hand movement, and mouthing. Modeling this multichannel information is a highly challenging problem. In this paper, we elucidate the link between spoken language and sign language in terms of production phenomenon and p…

Cited by 0 Source ↗Scholar ↗