International Business Machines Corporation

Julia E Maners

James Robert Lewis

Kerry Alan Ortega

Michael Peter Perrone

Eugene Henry Ratzlaff

Huifang Wang

Jayashree Subrahmonia

Ron Van Buskirk

A system and method for automatically providing quality assurance for user enrollment in a recognition system. Advantageously, the quality a new enrollment (i.e., a newly trained user-dependent prototype) is assessed before the new enrollment is accepted in place of a current enrollment. This quality check is performed by decoding stored user test data using the new enrollment, comparing the decoding results of the new enrollment to the known script used to generate the test data to obtain an accuracy score for the new enrollment, and then comparing the accuracy score for the new enrollment with an accuracy score of a previous qualified enrollment (or, in the case where there is no previous, qualified enrollment, to the accuracy of the speaker independent model). If the decoding results of the new enrollment are acceptable, the new enrollment will be used for recognition; otherwise it will be rejected and discarded.

System and method for automatic quality assurance of user enrollment in a recognition system

Growing community of inventors

Boca Raton, FL, United States of America

Julia E Maners