Jenny Liu Chang

US Patent:

20040148354, Jul 29, 2004

Filed:

Nov 16, 2001

Appl. No.:

10/015177

Inventors:

John Saare - , US
Bryan Hanks - San Jose CA, US
Robert O'Brien - , US
Jenny Chang - San Jose CA, US
Dean Polla - Westminster CA, US

International Classification:

G06F015/16

US Classification:

709/206000

Abstract:

A method for providing extensible client mail functions to a plurality of clients via the Internet. The method includes a portal server receiving a request for mail functions from a client. In response to the request, a Java server page corresponding to the request is accessed. A plurality of tags contained within the Java server page are then accessed. The Java server page is subsequently processed using the tags, wherein the tags provide access to a mail server configured for providing the mail functions. The resulting processed Java server page is then transmitted back to the client. When requests from the client received, the Java server page corresponding to the request can be retrieved from a set of compiled Java server page classes. Extended mail functions can be provided by accessing a plurality of extended tags contained within the Java server page, wherein the mail functions are extended by adding the extended tags corresponding to new mail functionality of the mail server.

US Patent:

20110276861, Nov 10, 2011

Filed:

May 4, 2010

Appl. No.:

12/773050

Inventors:

Anthony L. Chun - Los Altos CA, US
Jenny Chang - San Ramon CA, US

International Classification:

H03M 13/45
H03M 13/05
G06F 11/10

US Classification:

714780, 714752, 714E11032

Abstract:

Some demonstrative embodiments include devices, systems and/or methods of turbo decoding. For example, a device may include a turbo decoder to decode a turbo-encoded input according to a turbo code, the turbo-encoded input including a plurality of soft-decision information-bit values and a plurality of soft-decision parity-bit values corresponding to the soft-decision information bit values, wherein the turbo decoder is to output a plurality of extrinsic soft-decision parity-bit values corresponding to the plurality soft-decision parity-bit values. Other embodiments are described and claimed.

US Patent:

20140188470, Jul 3, 2014

Filed:

Dec 31, 2012

Appl. No.:

13/732329

Inventors:

Jenny Chang - San Ramon CA, US
Michael E. Deisher - Hillsboro OR, US
Ravishankar Iyer - Portland OR, US

International Classification:

G10L 15/28

US Classification:

704236

Abstract:

A disclosed speech processor includes a front end to receive a speech input and generate a feature vector indicative of a portion of the speech input and a Gaussian mixture (GMM) circuit to receive the feature vector, model any one of a plurality of GMM speech recognition algorithms, and generate a GMM score for the feature vector based on the GMM speech recognition algorithm modeled. In at least one embodiment, the GMM circuit includes a common compute block to generate feature a vector sum indicative of a weighted sum of differences squares between the feature vector and a mixture component of the GMM speech recognition algorithm. In at least one embodiment, the GMM speech recognition algorithm being modeled includes a plurality of Gaussian mixture components and the common compute block is operable to generate feature vector scores corresponding to each of the plurality of mixture components.