SIGNAL EXTRACTION SYSTEM, SYSTEM AND METHOD FOR SPEECH RESTORATION, LEARNING METHOD FOR NEURAL NETWORK MODEL, CONSTRUCTING METHOD OF NEURAL NETWORK MODEL, AND SIGNAL PROCESSING SYSTEM

Patent №

US 5,960,391

Granted

1999-09-28

Filed 1996

Owner

DENSO CORPORATION

Lab

AI components

2

ml · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08766633

A signal extraction system for extracting one or more signal components from an input signal including a plurality of signal components. This system is equipped with a neural network arithmetic section designed to process information through the use of a recurrent neural network. The neural network arithmetic section extracts one or more signal components, for example, a speech signal component and a noise signal component from an input signal including a plurality of signal components such as a speech and noises and outputs the extracted signal components. Owing to the presence of this neural network arithmetic section, the signal extraction becomes possible with a high accuracy.

AI classification

Machine learning0.99
Speech0.99
Vision0.13
AI hardware0.03
Natural language0.03
Knowledge representation0.00
Planning0.00
Evolutionary computation0.00

Ownership

DENSO CORPORATION

assignment · 83900367

Assignors

TATEISHI, MASAHIKO, TAMURA, SHINICHI, YOKOI, KUNIO

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

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