Abstract: 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.

Abstract: 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.

Abstract: A voice dialing method includes the steps of receiving an utterance from a user, decoding the utterance to identify a recognition result for the utterance, and communicating to the user the recognition result. If an indication is received from the user that the communicated recognition result is incorrect, then it is added to a rejection reference. Then, when the user repeats the misunderstood utterance, the rejection reference can be used to eliminate the incorrect recognition result as a potential subsequent recognition result. The method can be used for single or multiple digits or digit strings.

Abstract: A voice dialing method includes the steps of receiving an utterance from a user, decoding the utterance to identify a recognition result for the utterance, and communicating to the user the recognition result. If an indication is received from the user that the communicated recognition result is incorrect, then it is added to a rejection reference. Then, when the user repeats the misunderstood utterance, the rejection reference can be used to eliminate the incorrect recognition result as a potential subsequent recognition result. The method can be used for single or multiple digits or digit strings.

Abstract: A voice dialing method includes the steps of receiving an utterance from a user, decoding the utterance to identify a recognition result for the utterance, and communicating to the user the recognition result. If an indication is received from the user that the communicated recognition result is incorrect, then it is added to a rejection reference. Then, when the user repeats the misunderstood utterance, the rejection reference can be used to eliminate the incorrect recognition result as a potential subsequent recognition result. The method can be used for single or multiple digits or digit strings.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A voice dialing method includes the steps of receiving an utterance from a user, decoding the utterance to identify a recognition result for the utterance, and communicating to the user the recognition result. If an indication is received from the user that the communicated recognition result is incorrect, then it is added to a rejection reference. Then, when the user repeats the misunderstood utterance, the rejection reference can be used to eliminate the incorrect recognition result as a potential subsequent recognition result. The method can be used for single or multiple digits or digit strings.

Abstract: A speech recognition method includes the steps of receiving input speech containing vocabulary, processing the input speech with a grammar to obtain N-best hypotheses and associated parameter values, and determining whether a first-best hypothesis of the N-best hypotheses is confusable with any vocabulary within the grammar. The first-best hypothesis is accepted as recognized speech corresponding to the received input speech if the first-best hypothesis is not determined to be confusable with any vocabulary within the grammar. Where the first-best hypothesis is determined to be confusable, at least one parameter value of the first-best hypothesis can be compared to at least one threshold value. The first-best hypothesis can be accepted as recognized speech corresponding to the received input speech, if the parameter value of the first-best hypothesis is greater than the threshold value.