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:
Jun. 18, 2013

Filed:

Mar. 27, 2003
Applicants:

Gregory C. Burnett, Livermore, CA (US);

Nicolas J. Petit, San Francisco, CA (US);

Alexander M. Asseily, San Francisco, CA (US);

Andrew E. Einaudi, San Francisco, CA (US);

Inventors:

Gregory C. Burnett, Livermore, CA (US);

Nicolas J. Petit, San Francisco, CA (US);

Alexander M. Asseily, San Francisco, CA (US);

Andrew E. Einaudi, San Francisco, CA (US);

Assignee:

AliphCom, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 15/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Communication systems are described, including both portable handset and headset devices, which use a number of microphone configurations to receive acoustic signals of an environment. The microphone configurations include, for example, a two-microphone array including two unidirectional microphones, and a two-microphone array including one unidirectional microphone and one omnidirectional microphone. The communication systems also include Voice Activity Detection (VAD) devices to provide information of human voicing activity. Components of the communications systems receive the acoustic signals and voice activity signals and, in response, automatically generate control signals from data of the voice activity signals. Components of the communication systems use the control signals to automatically select a denoising method appropriate to data of frequency subbands of the acoustic signals. The selected denoising method is applied to the acoustic signals to generate denoised acoustic signals when the acoustic signal includes speech and noise.


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