Arabic Speech Pathology Therapy Computer Aided System
Zoubir Abdeslem Benselama, Mhania Guerti, M. A. Bencherif · Journal of Computer Science · 2007
This article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic occlusive sigmatism as a prime approach, which is the inability to pronounce the[s] or [∫]. Results obtained are satisfying and the therapy program is prepared, for autonomous use by patients, for deep analysis and verifications.