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. 05, 2013

Filed:

Mar. 12, 2009
Applicants:

Rongshan Yu, Singapore, SG;

Regunathan Radhakrishnan, San Bruno, CA (US);

Robert Andersen, San Francisco, CA (US);

Grant Davidson, Burlingame, CA (US);

Inventors:

Rongshan Yu, Singapore, SG;

Regunathan Radhakrishnan, San Bruno, CA (US);

Robert Andersen, San Francisco, CA (US);

Grant Davidson, Burlingame, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 11/06 (2006.01);
U.S. Cl.
CPC ...
Abstract

The invention relates to the coding of audio signals that may include both speech-like and non-speech-like signal components. It describes methods and apparatus for code excited linear prediction (CELP) audio encoding and decoding that employ linear predictive coding (LPC) synthesis filters controlled by LPC parameters, a plurality of codebooks each having codevectors, at least one codebook providing an excitation more appropriate for non-speech-like signals and at least one codebook providing an excitation more appropriate for speech-like signals, and a plurality of gain factors, each associated with a codebook. The encoding methods and apparatus select from the codebooks codevectors and/or associated gain factors by minimizing a measure of the difference between the audio signal and a reconstruction of the audio signal derived from the codebook excitations. The decoding methods and apparatus generate a reconstructed output signal from the LPC parameters, codevectors, and gain factors.


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