Robert T Strong

US Patent:

6704710, Mar 9, 2004

Filed:

Oct 12, 2001

Appl. No.:

09/977520

Inventors:

Robert Don Strong - San Jose CA

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G10L 1518

US Classification:

704255, 704257

Abstract:

Assigning meanings to spoken utterances in a speech recognition system. A plurality of speech rules is generated, each of the of speech rules comprising a language model and an expression associated with the language model. At one interval (e. g. upon the detection of speech in the system), a current language model is generated from each language model in the speech rules for use by a recognizer. When a sequence of words is received from the recognizer, a set of speech rules which match the sequence of words received from the recognizer is determined. Each expression associated with the language model in each of the set of speech rules is evaluated, and actions are performed in the system according to the expressions associated with each language model in the set of speech rules.

US Patent:

7127394, Oct 24, 2006

Filed:

Feb 18, 2004

Appl. No.:

10/781998

Inventors:

Robert Don Strong - San Jose CA, US

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G10L 15/18

US Classification:

704255, 704257

Abstract:

Assigning meanings to spoken utterances in a speech recognition system. A plurality of speech rules is generated, each of the of speech rules comprising a language model and an expression associated with the language model. At one interval (e. g. upon the detection of speech in the system), a current language model is generated from each language model in the speech rules for use by a recognizer. When a sequence of words is received from the recognizer, a set of speech rules which match the sequence of words received from the recognizer is determined. Each expression associated with the language model in each of the set of speech rules is evaluated, and actions are performed in the system according to the expressions associated with each language model in the set of speech rules.

US Patent:

7478037, Jan 13, 2009

Filed:

Oct 13, 2006

Appl. No.:

11/580461

Inventors:

Robert Don Strong - San Jose CA, US

Assignee:

Apple Inc. - Cupertino CA

International Classification:

G10L 15/18

US Classification:

704 9

Abstract:

Assigning meanings to spoken utterances in a speech recognition system. A plurality of speech rules is generated, each of the speech rules comprising a language model and an expression associated with the language model. At one interval (e. g. upon the detection of speech in the system), a current language model is generated from each language model in the speech rules for use by a recognizer. When a sequence of words is received from the recognizer, a set of speech rules which match the sequence of words received from the recognizer is determined. Each expression associated with the language model in each of the set of speech rules is evaluated, and actions are performed in the system according to the expressions associated with each language model in the set of speech rules.

US Patent:

7680554, Mar 16, 2010

Filed:

Dec 19, 2006

Appl. No.:

11/612981

Inventors:

Steven C. Erickson - Rochester MN, US
Ivory Wellman Knipfer - Rochester MN, US
Robert Noble Strong - San Jose CA, US
Matthew H. Zemke - Rochester MN, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 19/00
G06F 9/45

US Classification:

700115, 700 90, 700 95, 700117

Abstract:

A method for associating objects in a manufacturing process. In response to an occurrence of an event for an object, a time is recorded of the event for the object. Entries for parts and assemblies associated with the object are located within a database. An entry of the event for the object is created within the database. The entry includes the event for the object, the time of the event for the object, and the entries for the parts and the assemblies associated with the object.

US Patent:

56130368, Mar 18, 1997

Filed:

Apr 25, 1995

Appl. No.:

8/428834

Inventors:

Robert D. Strong - San Jose CA

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G10L 900

US Classification:

395 252

Abstract:

Maintaining dynamic categories for speech rules in a speech recognition system which has a plurality of speech rules each comprising a language model and action. Each speech rule indicates whether the language model includes a flag identifying whether the words in the language model is dynamic according to changing data in the speech recognition system. At periodic intervals, such as system initialization or application program launch time, for each flag in each speech rule which indicates that words in the language model are dynamic, the words of each of the language model(s) are updated depending upon the state of the system. Concurrent with the determination of acoustic features during speech recognition, a current language model can be created based upon the language models from these speech rules.

US Patent:

53848926, Jan 24, 1995

Filed:

Dec 31, 1992

Appl. No.:

7/999012

Inventors:

Robert D. Strong - San Jose CA

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G10L 900

US Classification:

395 252

Abstract:

A method of speech recognition which determines acoustic features in a sound sample; recognizes words comprising the acoustic features based on a language model, which determines the possible sequences of words that may be recognized; and the selection of an appropriate response based on the words recognized. Information about what words may be recognized, under which conditions those words may be recognized, and what response is appropriate when the words are recognized, is stored, in a preferred embodiment, in a data structure called a speech rule. These speech rules are partitioned according to the context in which they are active. When speech is detected, concurrent with acoustic feature extraction, the current state of the computer system is used to determine which rules are active and how they are to be combined in order to generate a language model for word recognition. A language model is dynamically generated and used to find the best interpretation of the acoustic features as a word sequence. This word sequence is then matched against active rules in order to determine the appropriate response.

US Patent:

53902793, Feb 14, 1995

Filed:

Dec 31, 1992

Appl. No.:

7/999011

Inventors:

Robert D. Strong - San Jose CA

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G01L 506

US Classification:

395 2

Abstract:

Partitioning speech recognition rules for generation of a current language model and interpretation in a speech recognition system. Contexts for each of speech recognition rules are determined when each of the speech rules will be active. At one interval (e. g. initialization of the system), common contexts for the speech rules are determined and grouped or partitioned into speech rule sets according to these common contexts. Rapid and efficient generation of a language model upon the detection of a current context at a second interval (e. g. upon the detection of speech in one embodiment) then may be performed. Subsequent to the generation of the language model, interpretation may be performed using the speech recognition rules grouped into these common contexts.

US Patent:

63111578, Oct 30, 2001

Filed:

Dec 31, 1992

Appl. No.:

7/999016

Inventors:

Robert Don Strong - San Jose CA

Assignee:

Apple Computer, Inc. - Cupertino CA

International Classification:

G10L 1500

US Classification:

704255

Abstract:

Assigning meanings to spoken utterances in a speech recognition system. A plurality of speech rules is generated, each of the of speech rules comprising a language model and an expression associated with the language model. At one interval (e. g. upon the detection of speech in the system), a current language model is generated from each language model in the speech rules for use by a recognizer. When a sequence of words is received from the recognizer, a set of speech rules which match the sequence of words received from the recognizer is determined. Each expression associated with the language model in each of the set of speech rules is evaluated, and actions are performed in the system according to the expressions associated with each language model in the set of speech rules.