The active badge location system
ACM Transactions on Information Systems (TOIS)
Impala: a middleware system for managing autonomic, parallel sensor systems
Proceedings of the ninth ACM SIGPLAN symposium on Principles and practice of parallel programming
Smart Identification Frameworks for Ubiquitous Computing Applications
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
Fast endpoint detection algorithm for isolated word recognition in office environment
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
The design of webservices framework support ontology based dynamic service composition
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Support of reflective mobile agents in a smart office environment
ARCS'05 Proceedings of the 18th international conference on Architecture of Computing Systems conference on Systems Aspects in Organic and Pervasive Computing
Device and service discovery in home networks with OSGi
IEEE Communications Magazine
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Most commercialized speech recognition systems that have a large capacity and high recognition rates are a type of speaker dependent isolated word recognition systems. In order to extend the scope of recognition, it is necessary to increase the number of words that are to be searched. However, it shows a problem that exhibits a decrease in the system performance according to the increase in the number of words. This paper defines the context information that affects speech recognition in a ubiquitous environment to solve such a problem and designs a new speech recognition system that demonstrates better performances than the existing system by establishing a word model domain of a speech recognition system.