Durational Constraints for Network Based Connected Digit Recognition
Résumé
This paper examines the influence of durational constraints on recognition accuracy in an acoustic-phonetically based, speaker-independent connected digit recognizer. The constraints arc expressed using a set of finite-state pronunciation networks, together with specifications of minimum and maximum allowable durations for network primitives. The recognizer was tested on a corpus of 1232 5-digit and 7-digit strings, with and without a priori knowledge of string length. Recognition accuracies ranged from 33.9% to 94.6% and from 91.6% to 96.8%, for unknown and known string lengths, respectively, depending on the particular durational constraints incorporated in the network models.
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