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:
Apr. 14, 2015

Filed:

Jun. 12, 2009
Applicants:

Michael Lewis Seltzer, Seattle, WA (US);

James Garnet Droppo, Carnation, WA (US);

Ozlem Kalinli, Los Angeles, CA (US);

Alejandro Acero, Bellevue, WA (US);

Inventors:

Michael Lewis Seltzer, Seattle, WA (US);

James Garnet Droppo, Carnation, WA (US);

Ozlem Kalinli, Los Angeles, CA (US);

Alejandro Acero, Bellevue, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/20 (2006.01); G10L 15/06 (2013.01); G10L 15/14 (2006.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G10L 15/20 (2013.01); G10L 15/144 (2013.01);
Abstract

Technologies are described herein for noise adaptive training to achieve robust automatic speech recognition. Through the use of these technologies, a noise adaptive training (NAT) approach may use both clean and corrupted speech for training. The NAT approach may normalize the environmental distortion as part of the model training. A set of underlying 'pseudo-clean' model parameters may be estimated directly. This may be done without point estimation of clean speech features as an intermediate step. The pseudo-clean model parameters learned from the NAT technique may be used with a Vector Taylor Series (VTS) adaptation. Such adaptation may support decoding noisy utterances during the operating phase of a automatic voice recognition system.


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