Deep Art

DeepArt is a Google Faculty Award project that is targeting dysarthria, a particular form of disordered speech arising from poor motor-control and a resulting lack of coordination of the articulatory system. At Sheffield, we have demonstrated that using state-of-the-art training techniques developed for mainstream HMM/DNN speech recognition, can raise baseline performance for dysarthric speech recognition.

The DeepArt project will aim to advance the state of the art by conducting research in three key areas:

• articulatory based representations;
• use of synthetic training data and
• novel approaches to DNN based speaker adaptive training.

We have an opening for a 1-year post doctoral researcher. We are looking for a motivated person with a PhD (or equivalent experience) in a speech processing related topic.

Further job details and the online application form can be found here

For any enquiries please contact either

• Heidi Christensen - heidi.christensen@sheffield.ac.uk
• Jon Barker - j.p.barker@sheffield.ac.uk