Jane F Macfarlane

US Patent:

7003458, Feb 21, 2006

Filed:

Jan 15, 2002

Appl. No.:

10/047898

Inventors:

Jane F. MacFarlane - Oakland CA, US
Stephen C. Habermas - San Carlos CA, US

Assignee:

General Motors Corporation - Detroit MI

International Classification:

G10L 15/10
G10L 21/02

US Classification:

704236, 704226

Abstract:

An automated voice pattern filtering method implemented in a system having a client side and a server side is disclosed. At the client side, a speech signal is transformed into a first set of spectral parameters which are encoded into a set of spectral shapes that are compared to a second set of spectral parameters corresponding to one or more keywords. From the comparison, the client side determines if the speech signal is acceptable. If so, spectral information indicating a difference in a voice pattern between the speech signal and the keyword(s) is encoded and utilized as a basis to generate a voice pattern filter.

US Patent:

7031724, Apr 18, 2006

Filed:

Mar 12, 2003

Appl. No.:

10/387069

Inventors:

Steven J. Ross - Burlingame CA, US
Jane F. Macfarlane - Oakland CA, US
Julie A. Rybicki - Burlingame CA, US

Assignee:

General Motors Corporation - Detroit MI

International Classification:

H04Q 7/20

US Classification:

4554561, 4554141, 4554562

Abstract:

The present invention includes a method and system for providing location-based services to a telematics service subscriber. A message notice is sent to the telematics service subscriber and a request for messages is received. A determination is made as to whether at least one message includes a location information attachment, and then at least one telematics service is provided based on the determination. Another aspect of the invention is a computer usable medium used to provide the location-based services.

US Patent:

7373297, May 13, 2008

Filed:

Feb 6, 2004

Appl. No.:

10/772862

Inventors:

Stephen C. Habermas - San Carlos CA, US
Ognjen Todic - San Francisco CA, US
Jane F. MacFarlane - Oakland CA, US

Assignee:

General Motors Corporation - Detroit MI

International Classification:

G10L 15/20

US Classification:

704233, 704227, 704228, 704255, 704257

Abstract:

An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.

US Patent:

7548491, Jun 16, 2009

Filed:

Jun 13, 2002

Appl. No.:

10/171123

Inventors:

Jane F. Macfarlane - Oakland CA, US

Assignee:

General Motors Corporation - Detroit MI

International Classification:

H04Q 1/00

US Classification:

367198, 34082569, 340 572, 37910201

Abstract:

A wireless key system for a mobile vehicle includes a key fob with a controller, a microphone operably coupled to the controller, a memory operably coupled to the controller, arid a telematics unit operably coupled to a vehicle communication bus. Verbal commands received through the microphone initiate the controller to send a function message in accordance with instructions stored in the memory to the telematics unit that activates a function through the vehicle communication bus.

US Patent:

20030130842, Jul 10, 2003

Filed:

Jan 4, 2002

Appl. No.:

10/045683

Inventors:

Stephen Habermas - San Carlos CA, US
Ognjen Todic - San Francisco CA, US
Jane MacFarlane - Oakland CA, US

International Classification:

G10L015/20

US Classification:

704/233000

Abstract:

An automated speech recognition filter is disclosed. The automated speech recognition filter device provides a speech signal to an automated speech platform that approximates an original speech signal as spoken into a transceiver by a user. In providing the speech signal, the automated speech recognition filter determines various models representative of a cumulative signal degradation of the original speech signal from various devices along a transmission signal path and a reception signal path between the transceiver and a device housing the filter. The automated speech platform can thereby provide an audio signal corresponding to a context of the original speech signal.

US Patent:

20130337830, Dec 19, 2013

Filed:

Jun 18, 2012

Appl. No.:

13/525949

Inventors:

Antonio Haro - Oak Park IL, US
Jane MacFarlane - Oakland CA, US

Assignee:

NAVTEQ B.V. - Veldhoven

International Classification:

H04W 24/00

US Classification:

4554561

Abstract:

An approach is provided for detecting points of interest or events based on geotagged data and geolocation seeds. A maps platform processes and/or facilitates a processing of location information associated with one or more devices to determine one or more geolocation seeds. The maps platform causes, at least in part, a querying for content information based, at least in part, on the one or more geolocation seeds. The maps platform then processes and/or facilitates a processing of the content information to determine one or more points of interest, one or more location-based events, or a combination thereof.

US Patent:

20180350232, Dec 6, 2018

Filed:

May 30, 2018

Appl. No.:

15/993204

Inventors:

- Eindhoven, NL
Andrew LEWIS - Berkeley CA, US
Jane MACFARLANE - Oakland CA, US
Robert BERRY - Chicago IL, US

International Classification:

G08G 1/01
G06F 17/30
G06K 9/62

Abstract:

An approach is provided for next token prediction based on previously observed tokens. The approach involves receiving an observed time series of tokens, wherein each of the tokens represents an observed data pattern. The approach also involves adding a most recent token from the observed time series of tokens into a variable token set. The approach further involves processing a historical token set to determine a historical token sequence comprising the variable token set followed by a next token. The approach further involves recursively adding a next most recent token from the observed time series of tokens into the variable token set for processing until the next token following the variable token set in the determined historical token sequence is unique or meets a target number of possible predictions. The approach further involves presenting the next token as a predicted next token of the observed time series of tokens.

US Patent:

20180240026, Aug 23, 2018

Filed:

Feb 22, 2017

Appl. No.:

15/439622

Inventors:

- Eindhoven, NL
Andrew LEWIS - Berkeley CA, US
Jane MACFARLANE - Oakland CA, US

International Classification:

G06N 5/04
G06N 99/00
G08G 1/01

Abstract:

An approach is provided for semantic-free traffic prediction. The approach involves dividing a travel-speed data stream into a plurality of travel-speed patterns. The travel-speed data stream represents vehicle travel speeds occurring in a road network. The approach also involves representing each of the plurality of travel-speed patterns by a respective token. The respective token is selected from a dictionary of tokens representing a plurality of travel-speed templates determined from historical travel-speed data. The approach further involves matching a sequence of the respective tokens corresponding to said each of the plurality of travel-speed patterns to a best-fit sequence of tokens determined from the historical travel-speed data. The approach further involves determining a predicted sequence of tokens based on the best-fit sequence of tokens, and generating a traffic prediction for the road network based on the predicted sequence of tokens.