Abstract: Managing subscriber vehicle data in a vehicle data management system includes receiving and storing vehicle data, associating at least one client class with at least one corresponding targeted data format, receiving a client data request from a client, determining a client identity based on the client data request; and providing targeted data to the client responsive to the data request. The targeted data format is based on the determination of the identified client requesting the client data. An article for managing subscriber vehicle data in a vehicle data management system is described having a computer readable modulated carrier wave embodying means embedded in the modulated carrier wave for storing received vehicle data, means for associating at least one client class with at least one corresponding targeted data format, means for determining a client identity based on a received client data request and means for providing targeted data to the client responsive to the data request.

Abstract: The present invention provides a method for providing vehicle settings to a telematics unit in a mobile vehicle that includes receiving a vehicle settings update signal at a call center from the telematics unit and sending vehicle settings from the call center to the telematics unit. The method may additionally include implementing the vehicle settings in the mobile vehicle. The method may further include sending an update flag signal from the call center to the telematics unit. The method may additionally include receiving at least one user preference at the call center via a web portal interface. The step of receiving at least one user preference may further include sending an update flag signal from the call center to the telematics unit responsive to receiving the at least one user preference at the call center via the web portal interface.

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.

Abstract: A system and method for remote reflashing of software for electronic control units (ECUs). A method includes identifying vehicle groups for software updating 200, determining vehicles within the vehicle groups, each of the vehicles having a telematics device and a plurality of ECUs 202, preparing a software update package for each of the vehicles 204, transmitting the software update package over a wireless carrier system to the telematics device of each of the vehicles 206, and installing the software update package in at least one target ECU for each of the vehicles 208.

Abstract: A method is directed to providing a custom message set within a vehicle message service system. The method includes receiving at least one vehicle message service request, determining at least one set of vehicle parameters based on the at least one received vehicle message service request, requesting at least one vehicle message for each of the at least one set of vehicle parameters from a database, and generating the custom message set responsive to the vehicle messages. The method may further include transmitting the generated custom message set to a vehicle client. The step of generating the custom message set responsive to the received vehicle parameters may include receiving a vehicle message for each of the at least one set of vehicle parameters from the database and producing an object including the vehicle messages.

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.

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.

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.

Abstract: The present invention provides a method for providing vehicle settings to a telematics unit in a mobile vehicle that includes receiving a vehicle settings update signal at a call center from the telematics unit and sending vehicle settings from the call center to the telematics unit. The method may additionally include implementing the vehicle settings in the mobile vehicle. The method may further include sending an update flag signal from the call center to the telematics unit. The method may additionally include receiving at least one user preference at the call center via a web portal interface. The step of receiving at least one user preference may further include sending an update flag signal from the call center to the telematics unit responsive to receiving the at least one user preference at the call center via the web portal interface.

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.

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.