| 摘要 |
In a system for recognizing a continuous speech pattern, based on a speech pattern entered through a microphone, a feature vector alpha i is extracted by a feature extraction unit, and a feature vector beta jn is read out from a reference pattern memory. A first recursive operation unit (DPM1) computes a set of similarity measures Sn(i, j) between the feature vectors. A maximum similarity measure at a time point i is determined and produced by a first decision unit (DSC1) and is stored in a maximum similarity memory (MAX). A second recursive operation unit (DMP2) computes a reversed similarity measure. Based on a computed result g(v, l) and the output from said maximum similarity measure memory, a second decision unit determines a boundary vmax. A word Wu based on data u=vmax-1 obtained by the boundary v is stored as nx(x=1, . . . , Y) in an order reversing unit (REV). The order reversing unit finally reverses the order of data and produces an output nx(x=1, . . . , Y). |
