This paper describes KAZOO, a web application for sign language (SL) generation using a virtual signer. Firstly, it explains the motivation to this project, which is grounded on an approach designed solely from SL corpus analysis and modelling. Then, various projects conducted in the past few years on linguistic modelling and 3D animation are presented. The platform's architecture integrates parts of this work and new pieces of software allowing control and linking of all these components. This is an ongoing project, though the current version offers the possibility to animate a virtual signer automatically and synthesize the contents using an abstract representation, the authors' own linguistic model AZee, providing a means of validating this model.
In this paper, I describe the summary of what I plan to do for my PhD thesis on sign language synthesis. The modelling of the skeleton of virtual characters would lead to improvements in the quality of animations. Thus the first step is to study how to build such a model, by analysing corpora data and integrating biological data. Then, we will implement the model and confront it to users to evaluate it.
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