Patent Document ID: 4783802
Application ID: 06775398
Patent Status: 1

Claim One:
1. In a speech recognition and speech reference pattern vector learning device which obtains a first time series of a feature parameter of an input speech by analyzing the input speech, and extracts speech recognition feature vectors from a portion of the first time series of the feature parameter to recognize said input speech by collating patterns between a speech reference pattern vector registered in advance and the feature vectors for the input speech obtained in the above, a learning device of reference pattern vectors for speech recognition comprising: a learning feature vector extracting section for extracting recognition feature vectors for the purpose of learning processing from the first time series of the feature parameter of the input speech, as well as for extracting also other feature vectors from a plurality of kinds of time series of feature parameters obtained by varying the first time series of the feature parameter; and a learning section for causing the learning of a speech reference pattern vector which is stored in a reference pattern vectors memory for recognition of said speech by means of the learning feature vectors supplied by said learning feature vector extracting section, said learning feature vector extracting section comprises a knowledge source concerning the variations in the input speech patterns, a conversion section for obtaining a plurality of kinds of time series of feature parameters by varying the first time series of the feature parameter of the input speech in accordance with the knowledge concerning the variations from the knowledge source, and a feature vector extracting section for extracting respective feature vectors from the plurality of kinds of time series and the first time series.