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:
Sep. 15, 2020

Filed:

Nov. 14, 2018
Applicant:

Sri International, Menlo Park, CA (US);

Inventors:

Julien van Hout, San Francisco, CA (US);

Vikramjit Mitra, Fremont, CA (US);

Horacio Franco, Menlo Park, CA (US);

Emre Yilmaz, Clementi, SG;

Assignee:

SRI International, Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/16 (2006.01); G10L 15/22 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 40/242 (2020.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G06F 40/242 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G10L 15/22 (2013.01); G10L 2015/088 (2013.01);
Abstract

A computing system determines whether a reference audio signal contains a query. A time-frequency convolutional neural network (TFCNN) comprises a time and frequency convolutional layers and a series of additional layers, which include a bottleneck layer. The computation engine applies the TFCNN to samples of a query utterance at least through the bottleneck layer. A query feature vector comprises output values of the bottleneck layer generated when the computation engine applies the TFCNN to the samples of the query utterance. The computation engine also applies the TFCNN to samples of the reference audio signal at least through the bottleneck layer. A reference feature vector comprises output values of the bottleneck layer generated when the computation engine applies the TFCNN to the samples of the reference audio signal. The computation engine determines at least one detection score based on the query feature vector and the reference feature vector.


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