Propuesta para la optimización del monitoreo de sistemas informáticos complejos mediante el empleo de tecnología digital del habla.

Abstract

Today the increasing complexity of the computer systems used in industry, medicine field and even in everyday life often requires other systems to monitor and control its correct functioning. These monitoring and control systems in turn, require some analysis and interpretation of the indicators provided to later make decisions for the context presented. This analysis needs a human cognitive process based on knowledge previously acquired by experience or a predefined decision flow, generally through an operation manual. Speech and voice recognition systems tend to be highly effective in reducing analysis time and allowing accurately summarizing and interpreting an emergency or high criticality. This paper develops a proposed architecture that provides a mechanism to monitor industrial computer systems with voice interpreter that warns of predefined critical situations using free-license tools.