Building a voice-operated system for learning disabled users is a difficult task that requires a considerable amount of\ntime and effort. Due to the wide spectrum of disabilities and their different related phonopathies, most approaches\navailable are targeted to a specific pathology. This may improve their accuracy for some users, but makes them\nunsuitable for others. In this paper, we present a cross-lingual approach to adapt a general-purpose modular speech\nrecognizer for learning disabled people. The main advantage of this approach is that it allows rapid and cost-effective\ndevelopment by taking the already built speech recognition engine and its modules, and utilizing existing resources\nfor standard speech in different languages for the recognition of the users� atypical voices. Although the recognizers\nbuilt with the proposed technique obtain lower accuracy rates than those trained for specific pathologies, they can be\nused by a wide population and developed more rapidly, which makes it possible to design various types of\nspeech-based applications accessible to learning disabled users.
Loading....