User model-improvement-data-driven selection and update of user-oriented recognition model of a given type for word recognition at network server
| Autor: | Eric Thelen, Stefan Besling |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Acoustics and Ultrasonics
Selection (relational algebra) Computer science business.industry User modeling ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Speech processing Session (web analytics) Data-driven Arts and Humanities (miscellaneous) Server Word recognition The Internet business Computer network |
| Zdroj: | The Journal of the Acoustical Society of America. 112:2520 |
| ISSN: | 0001-4966 |
| Popis: | A distributed pattern recognition system includes at least one user station and a server station. The server station and the user station are connected via a network, such as Internet. The server station includes different recognition models of a same type. As part of a recognition enrolment, the user station transfers model improvement data associated with a user of the user station to the server station. The server station selects a recognition model from the different recognition models of a same type in dependence on the model improvement data. For each recognition session, the user station transfers an input pattern representative of time sequential input generated by the user to the server station. The server station retrieves a recognition model selected for the user and provides the retrieved recognition model to a recognition unit for recognising the input pattern using the recognition models. |
| Databáze: | OpenAIRE |
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