Jing J Zheng

US Patent:

7324945, Jan 29, 2008

Filed:

Jun 28, 2001

Appl. No.:

09/894898

Inventors:

John W. Butzberger - Menlo Park CA, US
Horacio E. Franco - Menlo Park CA, US
Leonardo Neumeyer - Palo Alto CA, US
Jing Zheng - Redwood city CA, US

Assignee:

SRI International - Menlo Park CA

International Classification:

G10L 15/18

US Classification:

7042701, 704257

Abstract:

A method of speech recognition that uses hierarchical data structures that include a top level grammar and various related subgrammars, such as word, phone, and state subgrammars. A speech signal is acquired, and a probabilistic search is performed using the speech signal as an input, and using the (unexpanded) grammars and subgrammars as possible inputs. Memory is allocated to a subgrammar when a transition to that subgrammar is made during the probabilistic search. The subgrammar may then be expanded and evaluated, and the probability of a match between the speech signal and an element of the subgrammar for which memory has been allocated may be computed. Because unexpanded grammars and subgrammars take up very little memory, this method enables systems to recognize and process a larger vocabulary that would otherwise be possible. This method also permits grammars and subgrammars to be added, deleted, or selected by a remote computer while the speech recognition system is operating, allowing speech recognition systems to have a nearly unlimited vocabulary.

US Patent:

7756710, Jul 13, 2010

Filed:

Jul 13, 2006

Appl. No.:

11/486266

Inventors:

Horacio Franco - Menlo Park CA, US
Gregory Myers - San Francisco CA, US
Jing Zheng - Sunnyvale CA, US
Federico Cesari - Menlo Park CA, US
Cregg Cowan - Mountain View CA, US

Assignee:

SRI International - Menlo Park CA

International Classification:

G10L 15/22

US Classification:

704255

Abstract:

In one embodiment, the present invention is a method and apparatus for error correction in speech recognition applications. In one embodiment, a method for recognizing user speech includes receiving a first utterance from the user, receiving a subsequent utterance from the user, and combining acoustic evidence from the first utterance with acoustic evidence from the subsequent utterance in order to recognize the first utterance. It is assumed that, if the first utterance has been incorrectly recognized on a first attempt, the user will repeat the first utterance (or at least the incorrectly recognized portion of the first utterance) in the subsequent utterance.

US Patent:

20120029904, Feb 2, 2012

Filed:

Jul 30, 2010

Appl. No.:

12/847826

Inventors:

KRISTIN PRECODA - Mountain View CA, US
HORACIO FRANCO - Menlo Park CA, US
JING ZHENG - Sunnyvale CA, US
MICHAEL FRANDSEN - Helena MT, US
VICTOR ABRASH - Montara CA, US
MURAT AKBACAK - Palo Alto CA, US
ANDREAS STOLCKE - Berkeley CA, US

International Classification:

G06F 17/28

US Classification:

704 2, 704E11001

Abstract:

The present invention relates to a method and apparatus for adding new vocabulary to interactive translation and dialogue systems. In one embodiment, a method for adding a new word to a vocabulary of an interactive dialogue includes receiving an input signal that includes at least one word not currently in the vocabulary, inserting the word into a dynamic component of a search graph associated with the vocabulary, and compiling the dynamic component independently of a permanent component of the search graph to produce a new sub-grammar, where the permanent component comprises a plurality of words that are permanently part of the search graph.

US Patent:

20120330664, Dec 27, 2012

Filed:

Jun 24, 2011

Appl. No.:

13/168381

Inventors:

XIN LEI - SUNNYVALE CA, US
JING ZHENG - SAN JOSE CA, US

International Classification:

G10L 15/14

US Classification:

7042561, 704E15034

Abstract:

The present invention relates to a method and apparatus for computing Gaussian likelihoods. One embodiment of a method for processing a speech sample includes generating a feature vector for each frame of the speech signal, evaluating the feature vector in accordance with a hierarchical Gaussian shortlist, and producing a hypothesis regarding a content of the speech signal, based on the evaluating.

US Patent:

20130013311, Jan 10, 2013

Filed:

Jul 6, 2011

Appl. No.:

13/176925

Inventors:

JING ZHENG - San Jose CA, US

International Classification:

G10L 15/18

US Classification:

704257, 704E15018

Abstract:

The present invention relates to a method and apparatus for adapting a language model in response to error correction. One embodiment of a method for processing an input signal including human language includes receiving the input signal and applying a statistical language model combined with a separate, corrective language model to the input signal in order to produce a processing result.

US Patent:

20230080407, Mar 16, 2023

Filed:

Sep 14, 2021

Appl. No.:

17/475145

Inventors:

- San Jose CA, US
Manasi Deshmukh - San Francisco CA, US
Ming Liu - Sunnyvale CA, US
Ashok Gupta - San Jose CA, US
Karthik Suresh - San Jose CA, US
Chirag Arora - San Jose CA, US
Jing Zheng - San Jose CA, US
Ravindra Sadaphule - San Jose CA, US
Vipul Dalal - Cupertino CA, US
Andrei Stefan - San Francisco CA, US

International Classification:

G06F 9/451
G06T 11/60
G06N 5/02
G06F 40/20

Abstract:

This disclosure describes methods, non-transitory computer readable storage media, and systems that generate a digital knowledge graph based on a plurality of tutorial content items to generate recommendations of digital resource items. Specifically, the disclosed system extracts a plurality of tasks, subject categories related to the tasks, and context signals related to an environment for the tasks from a plurality of tutorial content items for one or more digital content editing applications. The disclosed system generates a digital knowledge graph including nodes corresponding to the tasks and subject categories connected via edges based on relationships extracted from the tutorial content items. In some embodiments, the disclosed system also includes nodes corresponding to digital resource items in the digital knowledge graph or in a subgraph. The disclosed system utilizes the digital knowledge graph with context data to provide a recommendation of digital resource items for display at a client device.

US Patent:

20230033806, Feb 2, 2023

Filed:

Jul 30, 2021

Appl. No.:

17/389835

Inventors:

- Redwood Shores CA, US
Giridhar Ravipati - Foster City CA, US
Ian Neall - Henley-on-Thames, GB
Frank Lange - Woerden, NL
Jing Zheng - Foster City CA, US
Mahesh Girkar - Los Altos CA, US
David Gagne - Goffstown NH, US
Nitin Karkhanis - Nashua NH, US
Sadhana Kyathappala - Westford MA, US
Qingguang Cui - Redwood Shores CA, US

International Classification:

G06F 16/27
G06F 16/23
G06F 11/14

Abstract:

Herein is high availability for online transaction processing with redundancy and redo for a federation of pluggable databases and container databases. In an embodiment of a federation of container database management systems that includes a first container database, first redo data of a first pluggable database in a second container database is obtained based on a database dictionary in the first container database. To the first pluggable database in the first container database, the first redo data of the first pluggable database in the second container database is applied. Based on the database dictionary in the first container database, second redo data of a second pluggable database in a third container database is obtained. To the second pluggable database in the first container database, without modifying content of the first pluggable database in the first container database, the second redo data of the second pluggable database in the third container database is applied.

US Patent:

20200026609, Jan 23, 2020

Filed:

Sep 1, 2016

Appl. No.:

15/254884

Inventors:

- Redwood Shores CA, US
Muthu Olagappan - Belmont CA, US
Yunrui Li - Fremont CA, US
Giridhar Ravipati - Foster City CA, US
Jing Zheng - Foster City CA, US

International Classification:

G06F 11/14
G06F 17/30

Abstract:

Techniques are provided for creating a backup of a source pluggable database (SPD) of a source container database and porting the backup for recovery into a different target container database. In an embodiment, a source database server retrieves metadata that describes backups of the SPD. The source database server inserts, into a unplugged pluggable database of the SPD, the metadata that describes each of the backups. For example, unplugging the SPD may automatically create the unplugged pluggable database. Eventually, the unplugged pluggable database may be plugged into the target container database. A target database server transfers the metadata that describes each of the backups from the unplugged pluggable database and into the target container database. Based on at least one backup and the metadata that describes backups of the SPD, the target database server restores a target pluggable database within the target container database.