Abstract:
A communications system and method of operating a vehicle multi-tainment unit (VMU) within that communications system is disclosed. The method includes the steps of: (a) establishing a connection between the VMU and a mobile device; (b) retrieving from a cache associated with the VMU user data previously provided by the mobile device; (c) prior to receiving current user data from the mobile device, receiving via the connection recently-used user data from the mobile device; (d) comparing the previously-provided user data and the received recently-used data; and (e) updating the previously-provided user data based on the comparison.
Abstract:
A communications system and method of operating a vehicle multi-tainment unit (VMU) within that communications system is disclosed. The method includes the steps of: (a) establishing a connection between the VMU and a mobile device; (b) retrieving from a cache associated with the VMU user data previously provided by the mobile device; (c) prior to receiving current user data from the mobile device, receiving via the connection recently-used user data from the mobile device; (d) comparing the previously-provided user data and the received recently-used data; and (e) updating the previously-provided user data based on the comparison.
Abstract:
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.
Abstract:
Adaptation methods and systems are provided for a speech system of a vehicle. In one embodiment a method comprises: receiving speech data; determining a speech pace based on the speech data; determining a user model based on the speech pace; and generating adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model.
Abstract:
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.
Abstract:
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.
Abstract:
A system and method for adapting a speech recognition and generation system. The system and method include providing a speech recognition and generation engine that processes speech received from a user and providing a dictionary adaptation module that adds out of vocabulary words to a baseline dictionary of the speech recognition and generation system. Words are added by extracting words that are encountered and adding out of vocabulary words to the baseline dictionary of the speech recognition and generation system.