Patent ID: 6374221
Filing Date: 2002-04-16
Classification: G10L

Abstract:
A method for automatic retraining of a speech recognizer during its normal operation, in which speech recognizer a plurality of trained models is stored, the method comprising:a) extracting a first feature vector sequence from a sampled input stream of a first user utterance, b) statistically matching the first feature vector sequence with the stored models so as to obtain likelihood scores for each model, while storing model state transitions, c) identifying the model with the highest likelihood score as a first tentative recognition result, d) storing the first feature vector sequence and the first tentative recognition result, e) informing the user, upon acceptance of the first tentative recognition result, about the first tentative recognition result, f) determining from the user's behavior, when the user successively operates the speech recognizer, whether the first tentative recognition result was correct, and g) retraining a model corresponding to the first recognition result, using the stored first feature vector sequence, if the first tentative recognition result was correct.