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. 19, 2023

Filed:

May. 01, 2020
Applicants:

Synaptics Incorporated, San Jose, CA (US);

The Trustees of Indiana University, Bloomington, IN (US);

Inventors:

Francesco Nesta, Aliso Viejo, CA (US);

Minje Kim, Bloomington, IN (US);

Sanna Wager, Bloomington, IN (US);

Assignees:

Synaptics Incorporated, San Jose, CA (US);

The Trustees of Indiana University, Bloomington, IN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 21/00 (2013.01); G10L 15/16 (2006.01); G10L 21/0264 (2013.01); G10L 21/0216 (2013.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G10L 21/0264 (2013.01); G06N 3/08 (2013.01); G10L 21/0216 (2013.01);
Abstract

Systems and methods for generating an enhanced audio signal comprise a trained neural network configured to receive an input audio signal and generate an enhanced target signal, the trained neural network comprising a pre-processing neural network configured to receive a segment of the input audio signal and output an audio classification, the pre-processing neural network including at least one hidden layer comprising an embedding vector, and a noise reduction neural network configured to receive the segment of the input audio signal, and the embedding vector and generate the enhanced target signal. The pre-processing neural network may comprise a target signal pre-processing neural network configured to output a target signal classification and comprising at least one hidden layer comprising a target embedding vector. The pre-processing neural network may comprise a noise pre-processing neural network configured output a noise classification and comprising at least one hidden layer comprising a noise embedding vector.


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