The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 02, 2019

Filed:

Jan. 04, 2016
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Tara N. Sainath, Jersey City, NJ (US);

Ron J. Weiss, New York, NY (US);

Kevin William Wilson, Sleepy Hollow, NY (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/16 (2006.01); G10L 15/34 (2013.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G10L 15/20 (2006.01); G10L 21/0208 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G10L 15/34 (2013.01); G10L 15/20 (2013.01); G10L 21/0208 (2013.01); G10L 2021/02082 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using neural networks. One of the methods includes receiving, by a neural network in a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal, the first raw audio signal and the second raw audio signal for the same period of time, generating, by a spatial filtering convolutional layer in the neural network, a spatial filtered output the first data and the second data, generating, by a spectral filtering convolutional layer in the neural network, a spectral filtered output using the spatial filtered output, and processing, by one or more additional layers in the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.


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