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
Ownership
DENSO CORPORATION
assignment · 83900367
Assignors
TATEISHI, MASAHIKO, TAMURA, SHINICHI, YOKOI, KUNIO
On an employer assignment, the assignors are typically the inventors.