DISTRIBUTED INFORMATION-PROCESSING SYSTEM WITH VOICE CONTROL BASED ON OS ANDROID

Introduction. Trends of increase of ACS and AIS and their use in everyday life are discussed. The need a voice mode of human interaction with AIS is mentioned. Noticed that network integration of AIS allows to combine their resources and contributes to progress in speech recognition. The emergence of smart phones and their widespread use is the desire to use them as personal voice terminals for access to distributed information networks. Main part. Possibility of use of Android-based personal portable mobile devices (PPMD) like terminals and like autonomous units, as well as possibility of use of Windows-based stationary PC like servers of distributed data-processing system (DDPS) with voice control are considered. Criteria for selection of PPMD and OS of client terminals, as well as requirements DDPS and its structure are formulated. Concept of building of DDPS by " client -server" and " a lot of clients -many servers" technologies are submitted. Concept of a PPMD virtual interface and server virtual interface are offered. Communication between threads within the process of the PPMD virtual interface of client terminal and the interaction between the processes of the client and server in the autonomous mode, as well as in the DDPS mode are considered. The results of experimental tests of the prototype of DDPS when exchanging data between Windows and Android clients, and Windows Server are running; the accuracy and reliability of embedded solutions and scalability of DDPS are confirmed. Conclusions. Modern PPMD on Android OS with can be used as terminal devices for construction on the basis of their different specialized voice control DDPS with technology "client - server" and "a lot of customers -many servers". Unification APIs of PPMD with different OS can be done by implementing a virtual PPMD interface. Exchanging data between processes of DDPS better sell through technology Berkeley sockets, which are supported by most modern operating systems. Exchanging data between threads of individual processes better implement with technology of system messages. Application of these approaches allow to create a scalable DDPS with the number of concurrent clients 100 or more with server by PC with Intel Core i3 CPU and OS Windows XP.