Patent application number | Description | Published |
20090030679 | AMBIENT NOISE INJECTION FOR USE IN SPEECH RECOGNITION - A method of ambient noise injection for use with speech recognition in a production vehicle. The method includes the steps of monitoring audio including user speech, receiving an utterance from the user speech, retrieving vehicle-specific ambient noise, and prepending the vehicle-specific ambient noise to the utterance before pre-processing and decoding the utterance. | 01-29-2009 |
20090164216 | IN-VEHICLE CIRCUMSTANTIAL SPEECH RECOGNITION - A method of circumstantial speech recognition in a vehicle. A plurality of parameters associated with a plurality of vehicle functions are monitored as an indication of current vehicle circumstances. At least one vehicle function is identified as a candidate for user-intended ASR control based on user interaction with the vehicle. The identified vehicle function is then used to disambiguate between potential commands contained in speech received from the user. | 06-25-2009 |
20100036666 | METHOD AND SYSTEM FOR PROVIDING META DATA FOR A WORK - A method for providing meta data for a work includes designating a file for uploading data associated therewith to a telematics unit operatively connected to a vehicle; and using meta data associated with the designed file, obtaining phonetic meta data for the designed file from an on-line service. The method further includes creating a phonetic meta data file associated with the designed file and including the obtained phonetic meta data, and transferring the phonetic metal data file to the telematics unit. Also disclosed herein is a system for providing the same. | 02-11-2010 |
20130038432 | SYSTEM FOR MONITORING ITEMS IN PROXIMITY TO A VEHICLE - A vehicle having an item detection system is provided having at least one indicator for selectively emitting an alarm when activated, a vehicle alarm control module, at least one radio frequency identification (“RFID”) tag, and a radio frequency (“RF”) interrogator. The vehicle alarm control module is in communication with the at least one indicator and includes control logic for sending an activation data signal to the at least one indicator to selectively activate the at least one indicator. The RFID tag is configured for receiving a query RF signal and transmitting a reply RF signal upon receipt of the query RF signal. The RF interrogator is in communication with the vehicle alarm and is located within a specified distance of the RFID tag. The RF interrogator has a processor, and includes control logic for transmitting the query RF signal to the RFID tag. | 02-14-2013 |
20130045689 | VEHICLE SYSTEM FOR MANAGING EXTERNAL COMMUNICATION - A hands-free system for a vehicle is provided, where the hands-free system sends and receives communication from a personal electronic device. The hands-free system includes a vehicle control module that is in communication with at least one vehicle system for determining if the vehicle is in a condition to receive input regarding operation, a display, and a hands-free control module. The hands-free control module is in communication with the display and the vehicle control module. The hands-free control module is in communication with the personal electronic device for sending and receiving an external communication from the personal electronic device. The hands-free control module has a memory and a message delivery filter algorithm. | 02-21-2013 |
20130090781 | REMOTELY LOCATED DATABASE FOR MANAGING A VEHICLE FLEET - A method and system of managing a vehicle fleet is provided. The method includes providing an electronic device, a computing device, and a vehicle that is associated with the vehicle fleet. The electronic device is located within a proximate distance from the vehicle and the computing device is located remotely from the vehicle. The electronic device is associated with a driver identifier. The method includes sending a data signal from the electronic device to the computing device indicating the driver identifier. The method further includes matching the driver identifier with a specific driver profile that is saved on a database of the computing device. The specific driver profile includes information associating the vehicle with the driver identifier. The method includes sending information regarding the specific driver profile from the database to a vehicle control module, where the vehicle control module associated with the vehicle. | 04-11-2013 |
20130093604 | LOGISTICAL MANAGEMENT OF FIELD WORK - Implementing a resource tracking service includes searching a database in response to a request for a resource from a first vehicle, retrieving a record from the database that is identified with the resource, the record mapped to a second vehicle. Implementing a resource tracking service also includes determining a geographic location of the second vehicle, and populating a navigation system map at the first vehicle with an icon reflecting the geographic location of the second vehicle. | 04-18-2013 |
20130154819 | System For Providing A Mobile Electronic Device Reminder - A vehicle system for providing a reminder that at least one mobile electronic device is being left in an interior cabin of a vehicle after a vehicle access event is provided. The vehicle system includes at least one indicator, a vehicle access system, and a control module. The indicator provides notification that the at least one mobile electronic device is being left in the interior cabin of the vehicle after the vehicle access event. The vehicle access system determines a vehicle access event. The control module is in communication with the at least one indicator and the vehicle access system. The control module includes a control logic for establishing a connection between the at least one mobile electronic device and the control module. | 06-20-2013 |
20140136200 | ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS - Methods and systems are provided for adapting a speech system. In one example a method includes: processing a spoken command with one or more models of one or more model types to achieve model results; evaluating a frequency of the model results; and selectively updating the one or more models of the one or more model types based on the evaluating. | 05-15-2014 |
20140136201 | ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS - Methods and systems are provided for adapting a speech system. In one example a method includes: logging speech data from the speech system; detecting a user characteristic from the speech data; and selectively updating a language model based on the user characteristic. | 05-15-2014 |
20140136202 | ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS - Methods and systems are provided for adapting a speech system. In one example a method includes: logging speech data from the speech system; processing the speech data for a pattern of a user competence associated with at least one of task requests and interaction behavior; and selectively updating at least one of a system prompt and an interaction sequence based on the user competence. | 05-15-2014 |
20140136214 | ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS - Methods and systems are provided for adapting a speech system of a vehicle. In one example a method includes: logging data from the vehicle; logging speech data from the speech system; processing the data from the vehicle and the data from the speech system to determine a pattern of context and a relation to user interaction behavior; and selectively updating a user profile of the speech system based on the pattern of context. | 05-15-2014 |
20150019074 | SYSTEM AND METHOD FOR CONTROLLING A SPEECH RECOGNITION SYSTEM - A method and system can control a speech recognition system in a vehicle. The method includes monitoring adaptive feature data about interactions between a user and the speech recognition system. The method includes determining a first group of samples of the adaptive feature data and creating a control chart based on the first group of samples. The control chart includes a control limit. The method further includes determining a second group of samples of the adaptive feature data after creating the control chart. Furthermore, the method includes calculating an arithmetic mean of each sample of the second group of samples to determine a sample mean, comparing the sample mean to the control limit in order identify unexpected performance of the speech recognition system. The method includes adjusting the speech recognition system based on the identified unexpected performance if the unexpected performance is identified. | 01-15-2015 |