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:
Dec. 10, 2024

Filed:

Jul. 31, 2023
Applicant:

The Trustees of Columbia University IN the City of New York, New York, NY (US);

Inventors:

Nima Mesgarani, New York, NY (US);

Yi Luo, New York, NY (US);

James O'Sullivan, New York, NY (US);

Zhuo Chen, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/30 (2013.01); G10L 17/26 (2013.01); G10L 21/0272 (2013.01); G10L 25/66 (2013.01); A61B 5/12 (2006.01);
U.S. Cl.
CPC ...
G10L 25/30 (2013.01); G10L 17/26 (2013.01); A61B 5/12 (2013.01); G10L 21/0272 (2013.01); G10L 25/66 (2013.01);
Abstract

Disclosed are devices, systems, apparatus, methods, products, and other implementations, including a method comprising obtaining, by a device, a combined sound signal for signals combined from multiple sound sources in an area in which a person is located, and applying, by the device, speech-separation processing (e.g., deep attractor network (DAN) processing, online DAN processing, LSTM-TasNet processing, Conv-TasNet processing), to the combined sound signal from the multiple sound sources to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources. The method further includes obtaining, by the device, neural signals for the person, the neural signals being indicative of one or more of the multiple sound sources the person is attentive to, and selecting one of the plurality of separated signals based on the obtained neural signals. The selected signal may then be processed (amplified, attenuated).


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