Yasuhiko Kato

Apparatus and method for processing natural language and apparatus and method for speech recognition

An apparatus and a method for processing a natural language arranged so as to improve the speech recognition rate. In an example search section, the degree of similarity between each of a plurality of examples of the actual use of the language stored in an example data base and each of a plurality of probable recognition results output from a recognition section, and one of the examples corresponding to the highest degree of similarity is selected. A final speech recognition result is obtained by using the selected example. The example search section calculates the degree of similarity by weighting the degree of similarity on the basis of a context according to at least one of the examples previously selected.

Voice recognition device and method using a (GGM) Guaranteed Global minimum Mapping

A voice recognition device according to the present invention including a voice analyzer for acoustically analyzing voice every predetermined frame unit to extract a feature vector X, a converter for subjecting the feature vector X output from the analyzer to a predetermined conversion process, and a voice recognizer for recognizing the voice on the basis of a new feature vector output from the converter, wherein the converter conducts the predetermined conversion processing according to a mapping F from an N-dimensional vector space ΩN to an M-dimensional vector space ΩM, the feature vector X is a vector on the N-dimensional vector space ΩN and the function fm (X) of an m-th component of the mapping F is represented by the following linear summation of the products of functions gm k (X) and coefficients cm k of Lm : ##EQU1## Each function gm k (X) may be set to a monomial.