Deep learning for articulatory-based disordered speech recognition
People with motor control problems, who are unable to use keyboard and touch driven interfaces to access the digital world, could benefit hugely from automatic speech recognition. Unfortunately, these same people often have co-occurring speech disorders (dysarthria), that make their speech hard to recognise. Sheffield University have much experience in developing speech technology for disordered speech, however, the task is made challenging by a shortage of training data and a large inter-speaker variability.