language. We investigate the changes that must be made to the model to adapt Arabic voice recognition. In this paper we present the creation of an Arabic version ofAutomated Speech Recognition System (ASR). II. SYSTEM PRESENTATION This system is based on the open source Sphinx-4, from Sphinx-4 speech recognition system has been jointly the Carnegie Mellon University. Which is a speech developed by the Caregie Mellon University, Sun recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must RosemsLaboratories and Itsubish Elt Research Laboratories (M.E.R.L). It has been built be made to the model to adapt Arabic voice recognition. entirely in Java TM programming language. Since the born the Sphinx Group is dedicated to release a set of HMMs: reasonably mature, speech components. Those provide a HMMS, A t basic technology level to anyone interested in creating
Recent years have seen Social Web becoming a global phenomenon, which is being increasingly important in our daily lives. Millions of users are chatting on the Web and social networks and expressing their feelings and opinions about the latest outbreaks, symptoms, illnesses and new drugs. These opinions contain a large amount of data, which are destined to become a major source of information for business intelligence, as they are largely informative and therefore interesting to be dealt with in a decision-making process, in order to evaluate and improve the performance of health system. However, this source of information is currently underutilised. This work describes an approach to creating an analytical health framework that allows the integration and multi-dimensional analysis of available health data, with particular attention to socially generated data, using Semantic Web (SW) technologies and multi-agent systems.
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