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. 13, 2016

Filed:

Mar. 13, 2014
Applicant:

Broadcom Corporation, Irvine, CA (US);

Inventor:

Bengt J. Borgstrom, Santa Monica, CA (US);

Assignee:

Broadcom Corporation, Irvine, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H03B 29/00 (2006.01); G10K 11/16 (2006.01); G10L 21/0208 (2013.01); G10L 17/00 (2013.01); G10L 25/06 (2013.01); G10L 17/04 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0208 (2013.01); G10L 17/00 (2013.01); G10L 25/06 (2013.01); G10L 17/04 (2013.01);
Abstract

Techniques described herein are directed to the enhancement of spectral features of an audio signal via adaptive modulation filtering. The adaptive modulation filtering process is based on observed modulation envelope autocorrelation coefficients obtained from the audio signal. The modulation envelope autocorrelation coefficients are used to determine parameters of an adaptive filter configured to filter the spectral features of the audio signal to provide filtered spectral features. The parameters are updated based on the observed modulation envelope autocorrelation coefficients to adapt to changing acoustic conditions, such as signal-to-noise ratio (SNR) or reverberation time. Accordingly, such acoustic conditions are not required to be estimated explicitly. Techniques described herein also allow for the estimation of useful side information, e.g., signal-to-noise ratios, based on the observed spectral features of the audio signal and the filtered spectral features, which can be used to improve speaker identification algorithms and/or other audio processing algorithms.


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