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:
May. 30, 2017

Filed:

Mar. 27, 2015
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Erik Visser, San Diego, CA (US);

Yinyi Guo, San Diego, CA (US);

Lae-Hoon Kim, San Diego, CA (US);

Raghuveer Peri, San Diego, CA (US);

Shuhua Zhang, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/16 (2006.01); G10L 25/51 (2013.01); G10L 25/30 (2013.01); G10L 13/00 (2006.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 21/0208 (2013.01); G10L 21/0272 (2013.01);
U.S. Cl.
CPC ...
G10L 15/16 (2013.01); G10L 25/30 (2013.01); G10L 25/51 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 21/0208 (2013.01); G10L 21/0272 (2013.01);
Abstract

Disclosed is a feature extraction and classification methodology wherein audio data is gathered in a target environment under varying conditions. From this collected data, corresponding features are extracted, labeled with appropriate filters (e.g., audio event descriptions), and used for training deep neural networks (DNNs) to extract underlying target audio events from unlabeled training data. Once trained, these DNNs are used to predict underlying events in noisy audio to extract therefrom features that enable the separation of the underlying audio events from the noisy components thereof.


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