ASYNCHRONOUS OPTIMIZATION FOR SEQUENCE TRAINING OF NEURAL NETWORKS

Patent №

US 10,019,985

Granted

2018-07-10

Filed 2014

Owner

GOOGLE INC.

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14258139

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.

Machine learningNatural languageVisionSpeechKnowledge representationAI hardwareG10L 15/063G06N 3/045G06N 3/0455G06N 3/0499G06N 3/09G06N 3/098G10L 15/16G10L 15/183

AI classification

Speech1.00
Machine learning1.00
AI hardware1.00
Natural language1.00
Vision1.00
Knowledge representation0.84
Planning0.02
Evolutionary computation0.00

Ownership

GOOGLE INC.

assignment · 328550965

Assignors

HEIGOLD, GEORG, MCDERMOTT, ERIK, VANHOUCKE, VINCENT O., SENIOR, ANDREW W., BACCHIANI, MICHIEL A.U.

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

© 2026 NYSGPT2525 LLC