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:
Aug. 12, 2025

Filed:

Feb. 12, 2024
Applicant:

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

Inventors:

Shiva Kumar Sundaram, Mountain View, CA (US);

Minhua Wu, San Jose, CA (US);

Anirudh Raju, San Jose, CA (US);

Spyridon Matsoukas, Hopkinton, MA (US);

Arindam Mandal, Redwood City, CA (US);

Kenichi Kumatani, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G06F 40/40 (2020.01); G10L 15/187 (2013.01); G10L 15/26 (2006.01); G10L 15/30 (2013.01); G10L 21/0208 (2013.01); H04R 3/00 (2006.01); G10L 15/08 (2006.01); G10L 21/0216 (2013.01); H04W 4/02 (2018.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G06F 40/40 (2020.01); G10L 15/187 (2013.01); G10L 15/26 (2013.01); G10L 15/30 (2013.01); G10L 21/0208 (2013.01); H04R 3/005 (2013.01); G10L 2015/088 (2013.01); G10L 2015/223 (2013.01); G10L 2021/02166 (2013.01); H04W 4/025 (2013.01);
Abstract

Systems and methods for utilizing microphone array information for acoustic modeling are disclosed. Audio data may be received from a device having a microphone array configuration. Microphone configuration data may also be received that indicates the configuration of the microphone array. The microphone configuration data may be utilized as an input vector to an acoustic model, along with the audio data, to generate phoneme data. Additionally, the microphone configuration data may be utilized to train and/or generate acoustic models, select an acoustic model to perform speech recognition with, and/or to improve trigger sound detection.


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