O ARM -Linux
o BlueCat Embedded Linux
o RT-Linux
•PalmOS
•QNX Neutrino
•Variants of JavaOS
O JavaOS
O Java for Business
•BeOS
Major constraints specific to recognition accuracy of Speech Recognition Systems as components of pervasive computing environment:
•Resource availability in terms of processing power, memory and available time for each instance of recognition
•Complexity due to isolated and continuous recognition needs,
•Secondary storage‟s capability to store required supporting data affecting dictionary and other data •Context-variance implications
•Complexity arising out of Speaker-dependent and Speaker-independent device requirements
•Extent of training needed and its regulation
•Security and other implications
o BlueCat Embedded Linux
o RT-Linux
•PalmOS
•QNX Neutrino
•Variants of JavaOS
O JavaOS
O Java for Business
•BeOS
Major constraints specific to recognition accuracy of Speech Recognition Systems as components of pervasive computing environment:
•Resource availability in terms of processing power, memory and available time for each instance of recognition
•Complexity due to isolated and continuous recognition needs,
•Secondary storage‟s capability to store required supporting data affecting dictionary and other data •Context-variance implications
•Complexity arising out of Speaker-dependent and Speaker-independent device requirements
•Extent of training needed and its regulation
•Security and other implications
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