LEARNING APPARATUS, LEARNING METHOD, RECOGNITION APPARATUS, RECOGNITION METHOD, AND RECORDING MEDIUM
Patent №
US 6,449,591
Granted
2002-09-10
Filed 2000
Owner
SONY CORPORATION
Lab
—
AI components
5
ml · nlp · vision · speech · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09584260
With respect to each of codes corresponding to code vectors in a code book stored in a code book storage section, an expectation degree storage section stores an expectation degree at which observation is expected when an integrated parameter with respect to a word as a recognition target is inputted. A vector quantization section vector-quantizes the integrated parameter and outputs a series of codes of a code vector which has a shortest distance to the integrated parameter. Further, a chi-square test section makes a chi-square test with use of the series of codes outputted from the vector quantization section and an expectation degree of each code stored in the expectation degree storage section, thereby to obtain properness as to whether or not the integrated parameter corresponds to a recognition target. Further, recognition is performed, based on the chi-square test result. As a result of this, recognition can be performed without considering time components which a signal has.
AI classification
Ownership
SONY CORPORATION
assignment · 110960106
Assignors
KONDA, TETSUJIRO, YOSHIWARA, NORIFUMI
On an employer assignment, the assignors are typically the inventors.