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:
Mar. 17, 2026

Filed:

Jun. 27, 2022
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Masahito Togami, San Jose, CA (US);

Ritwik Giri, Mountain View, CA (US);

Michael Mark Goodwin, Scotts Valley, CA (US);

Arvindh Krishnaswamy, Palo Alto, CA (US);

Siddhartha Shankara Rao, Seattle, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G10L 15/04 (2013.01); G10L 21/0208 (2013.01); G10L 21/10 (2013.01);
U.S. Cl.
CPC ...
G10L 21/10 (2013.01); G10L 15/04 (2013.01); G10L 15/26 (2013.01); G10L 21/0208 (2013.01);
Abstract

A plurality of talker embedding vectors may be derived that correspond to a plurality of talkers in an input audio stream. Each talker embedding vector may represent respective voice characteristics of a respective talker. The talker embedding vectors may be generated based on, for example, a pre-enrollment process or a cluster-based embedding vector derivation process. A plurality of instances of a personalized noise suppression model may be executed on the input audio stream. Each instance of the personalized noise suppression model may employ a respective talker embedding vector. A plurality of single-talker audio streams may be generated by the plurality of instances of the personalized noise suppression model. A plurality of single-talker transcriptions may be generated based on the plurality of single-talker audio streams. The plurality of single-talker transcriptions may be merged into a multi-talker output transcription.


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