Jian Z Wu

US Patent:

7693713, Apr 6, 2010

Filed:

Jun 17, 2005

Appl. No.:

11/156106

Inventors:

Xiaodong He - Issaquah WA, US
Jian Wu - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/06

US Classification:

704243, 704245

Abstract:

Speech models are trained using one or more of three different training systems. They include competitive training which reduces a distance between a recognized result and a true result, data boosting which divides and weights training data, and asymmetric training which trains different model components differently.

US Patent:

7892199, Feb 22, 2011

Filed:

May 21, 2007

Appl. No.:

11/751383

Inventors:

Amit Mhatre - Sunnyvale CA, US
Jian Yao Wu - San Jose CA, US
Mitchell Wenger - Ross CA, US
Steven Friedman - San Francisco CA, US

Assignee:

Asante Solutions, Inc. - Sunnyvale CA

International Classification:

A61M 31/00

US Classification:

604 65

Abstract:

Some embodiments of an infusion pump system may include an occlusion sensor that can be used to detect when an occlusion exists in the fluid path between the medicine reservoir and the infusion site on the user's skin. Such an occlusion may occur, for example, when the fluid flow line (e. g. , a cannula, infusion set tubing, or the like) is kinked. If the medicine dispensation path to the user is occluded, the user may receive no dosage or a lower dosage of the medicine. As such, the occlusion sensor can be used to indicate when the fluid is flowing or not flowing, thereby permitting the infusion pump system to communicate an alarm to the user if an occlusion exists.

US Patent:

7925505, Apr 12, 2011

Filed:

Apr 10, 2007

Appl. No.:

11/784896

Inventors:

Jian Wu - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/06
G10L 15/14

US Classification:

704236, 704244, 704255, 7042563

Abstract:

Architecture is disclosed herewith for minimizing an empirical error rate by discriminative adaptation of a statistical language model in a dictation and/or dialog application. The architecture allows assignment of an improved weighting value to each term or phrase to reduce empirical error. Empirical errors are minimized whether a user provides correction results or not based on criteria for discriminatively adapting the user language model (LM)/context-free grammar (CFG) to the target. Moreover, algorithms are provided for the training and adaptation processes of LM/CFG parameters for criteria optimization.

US Patent:

8034457, Oct 11, 2011

Filed:

Nov 13, 2008

Appl. No.:

12/270247

Inventors:

Jian Wu - Fremont CA, US
Craig Stringer - DuBois PA, US
Sundeep Kumar - Bangalore, IN

International Classification:

B32B 17/06
C03C 8/00

US Classification:

428428, 428688, 501 14, 501 15, 501 17, 501 21, 501 55, 501 65, 501 66, 501 68

Abstract:

A seal structure is provided for an energy storage device. The seal structure includes a sealing glass joining an ion-conducting first ceramic to an electrically insulating second ceramic. The sealing glass has a composition that includes about 48 weight percent silica, about 20 weight percent to about 25 weight percent boria, about 20 weight percent to about 24 weight percent alumina, and about 8 weight percent to about 12 weight percent sodium oxide based on the total weight of the sealing glass composition. A method for making the seal structure is provided. An article comprising the seal structure is also provided.

US Patent:

8185389, May 22, 2012

Filed:

Dec 16, 2008

Appl. No.:

12/335558

Inventors:

Dong Yu - Kirkland WA, US
Li Deng - Redmond WA, US
Yifan Gong - Sammamish WA, US
Jian Wu - Redmond WA, US
Alejandro Acero - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/20

US Classification:

704233

Abstract:

Described is noise reduction technology generally for speech input in which a noise-suppression related gain value for the frame is determined based upon a noise level associated with that frame in addition to the signal to noise ratios (SNRs). In one implementation, a noise reduction mechanism is based upon minimum mean square error, Mel-frequency cepstra noise reduction technology. A high gain value (e. g. , one) is set to accomplish little or no noise suppression when the noise level is below a threshold low level, and a low gain value set or computed to accomplish large noise suppression above a threshold high noise level. A noise-power dependent function, e. g. , a log-linear interpolation, is used to compute the gain between the thresholds. Smoothing may be performed by modifying the gain value based upon a prior frame's gain value. Also described is learning parameters used in noise reduction via a step-adaptive discriminative learning algorithm.

US Patent:

8239195, Aug 7, 2012

Filed:

Sep 23, 2008

Appl. No.:

12/235748

Inventors:

Jinyu Li - Redmond WA, US
Li Deng - Redmond WA, US
Dong Yu - Kirkland WA, US
Jian Wu - Sammamish WA, US
Yifan Gong - Sammamish WA, US
Alejandro Acero - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/20

US Classification:

704233, 704226, 704256

Abstract:

A speech recognition system includes a receiver component that receives a distorted speech utterance. The speech recognition also includes an adaptor component that selectively adapts parameters of a compressed model used to recognize at least a portion of the distorted speech utterance, wherein the adaptor component selectively adapts the parameters of the compressed model based at least in part upon the received distorted speech utterance.

US Patent:

8354105, Jan 15, 2013

Filed:

Sep 29, 2009

Appl. No.:

12/569830

Inventors:

Jian Wu - Lynnwood WA, US
Nicole Le - Camarillo CA, US
Michael De La Cruz - Camarillo CA, US
Gregory Flynn - Thousand Oaks CA, US

Assignee:

Amgen Inc. - Thousand Oaks CA

International Classification:

A61K 39/00
C07K 16/00
C12P 21/04

US Classification:

4241421, 53038815, 435 703

Abstract:

The present invention relates to methods of modulating (e. g. , reducing) the mannose content, particularly high-mannose content of recombinant glycoproteins.

US Patent:

8532991, Sep 10, 2013

Filed:

Mar 10, 2010

Appl. No.:

12/720968

Inventors:

Xiaodong He - Issaquah WA, US
Jian Wu - Redmond WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G10L 15/06
G10L 15/00

US Classification:

704243, 704255

Abstract:

Speech models are trained using one or more of three different training systems. They include competitive training which reduces a distance between a recognized result and a true result, data boosting which divides and weights training data, and asymmetric training which trains different model components differently.

Address:

3415 21 Ave S, Seattle, WA 98144

VIN:

WBAWB33557PU87658

Make:

BMW

Model:

3 SERIES

Year:

2007