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.

Machine learningNatural languageVisionSpeechAI hardwareG10L 15/24G06F 18/23G06F 18/24137G06F 18/253G06V 10/72G06V 10/762G06V 10/764G06V 10/806+7 more

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
AI hardware1.00
Vision0.98
Planning0.00
Knowledge representation0.00
Evolutionary computation0.00

Ownership

SONY CORPORATION

assignment · 110960106

Assignors

KONDA, TETSUJIRO, YOSHIWARA, NORIFUMI

On an employer assignment, the assignors are typically the inventors.

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