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. 18, 2021

Filed:

Mar. 25, 2019
Applicant:

Nxp B.v., Eindhoven, NL;

Inventors:

Gunasekaran Shanmugam, Bangalore, IN;

Omkar Reddy, Bangalore, IN;

Vinoda Kumar Somashekhara, Bangalore, IN;

Assignee:

NXP B.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 21/0216 (2013.01); G06F 1/3212 (2019.01); G06F 1/3234 (2019.01); G10L 15/20 (2006.01); G10L 19/06 (2013.01); G10L 21/028 (2013.01); G06F 1/3215 (2019.01); G06F 1/3287 (2019.01); G10L 21/0208 (2013.01); G10L 25/78 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0216 (2013.01); G06F 1/325 (2013.01); G06F 1/3212 (2013.01); G06F 1/3215 (2013.01); G06F 1/3287 (2013.01); G10L 15/20 (2013.01); G10L 19/06 (2013.01); G10L 21/0208 (2013.01); G10L 21/028 (2013.01); G10L 25/78 (2013.01); G10L 2021/02165 (2013.01); G10L 2021/02166 (2013.01);
Abstract

An audio processing system has multiple microphones that capture an audio signal. A noise suppression circuit analyses the audio signal to detect a type of noise present in the signal (e.g., stationary or non-stationary background noise). Based on the detected background noise type, the system operates in either a first or second mode of operation. In the first mode (stationary noise detected), one microphone is used to enhance a speech signal from the audio signal, and in the second mode (non-stationary noise detected), more than one microphone is used to enhance the speech signal. Processing more than one microphone input signal requires additional complexity and more processing power than one-microphone speech enhancement, so by classifying the background noise type and then switching between one microphone or N-microphones based speech enhancement, processing power is reduced during stationary noise conditions.


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