Patent · US Active

Convolutional, long short-term memory, fully connected deep neural networks

US10783900B2 · kind B2 · utility

2Cited by

3References

17Claims

0Family size

Assignee

Google LLC · US

Inventors

Tara N. Sainath · Jersey City, US
Andrew W. Senior · New York, US
Oriol Vinyals · London, GB
Hasim Sak · New York, US

Key dates

Filing date	Sep 8, 2015
Grant date	Sep 22, 2020
Priority date	—
Expiry date	Aug 7, 2038

Classification

Technology area (CPC G)Physics
CPC primaryG10L15/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying the language of a spoken utterance. One of the methods includes receiving input features of an utterance; and processing the input features using an acoustic model that comprises one or more convolutional neural network (CNN) layers, one or more long short-term memory network (LSTM) layers, and one or more fully connected neural network layers to generate a transcription for the utterance.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.