CONTINUOUS SPEECH PROCESSING SYSTEM

摘要

The speech (40) to be recognized is converted from utterances to frame data sets (42), which are smoothed (46) to generate a smooth frame model over a predetermined number of frames. A resident vocabulary is stored within the computer (50) as clusters of word models which are acoustically similar over a succession of frame periods. A cluster socre is generated by the system, which score inlcudes the likelihood of the smooth frames evaluated using a probability model for the cluster against which the smooth frame model is being compared. Cluster sets having cluster scores below a predetermined acoustic threshold are removed from further consideration. The remaining cluster sets are unpacked for determination of a word score for each unpacked word. These word scores are used to identify those words which are above a second predetermined threshold to define a word list which is sent to a recognizer for a more lengthy word match.